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3
.gitignore
vendored
@@ -22,3 +22,6 @@ dist-ssr
|
||||
*.njsproj
|
||||
*.sln
|
||||
*.sw?
|
||||
|
||||
*.onnx
|
||||
*.dll
|
||||
202
LICENSE.txt
Normal file
@@ -0,0 +1,202 @@
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
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|
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10
README.md
@@ -1,7 +1,7 @@
|
||||
# Tauri + Vue + TypeScript
|
||||
# Watermark Wizard
|
||||
|
||||
This template should help get you started developing with Vue 3 and TypeScript in Vite. The template uses Vue 3 `<script setup>` SFCs, check out the [script setup docs](https://v3.vuejs.org/api/sfc-script-setup.html#sfc-script-setup) to learn more.
|
||||
Generated by Gemini
|
||||
|
||||
## Recommended IDE Setup
|
||||
|
||||
- [VS Code](https://code.visualstudio.com/) + [Vue - Official](https://marketplace.visualstudio.com/items?itemName=Vue.volar) + [Tauri](https://marketplace.visualstudio.com/items?itemName=tauri-apps.tauri-vscode) + [rust-analyzer](https://marketplace.visualstudio.com/items?itemName=rust-lang.rust-analyzer)
|
||||
Models:
|
||||
- LaMa: https://huggingface.co/Carve/LaMa-ONNX/blob/main/lama_fp32.onnx
|
||||
- en_PP-OCRv3_det_infer: https://huggingface.co/SWHL/RapidOCR/blob/main/PP-OCRv4/en_PP-OCRv3_det_infer.onnx
|
||||
|
||||
BIN
app-icon.png
Normal file
|
After Width: | Height: | Size: 19 KiB |
@@ -3,7 +3,7 @@
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Tauri + Vue + Typescript App</title>
|
||||
<title>Watermark Wizard</title>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "watermark-wizard",
|
||||
"private": true,
|
||||
"version": "0.1.0",
|
||||
"version": "1.0.1",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "vite",
|
||||
|
||||
370
src-tauri/Cargo.lock
generated
@@ -212,6 +212,12 @@ version = "0.22.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "72b3254f16251a8381aa12e40e3c4d2f0199f8c6508fbecb9d91f575e0fbb8c6"
|
||||
|
||||
[[package]]
|
||||
name = "base64ct"
|
||||
version = "1.8.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2af50177e190e07a26ab74f8b1efbfe2ef87da2116221318cb1c2e82baf7de06"
|
||||
|
||||
[[package]]
|
||||
name = "bit_field"
|
||||
version = "0.10.3"
|
||||
@@ -476,6 +482,16 @@ dependencies = [
|
||||
"version_check",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "core-foundation"
|
||||
version = "0.9.4"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "91e195e091a93c46f7102ec7818a2aa394e1e1771c3ab4825963fa03e45afb8f"
|
||||
dependencies = [
|
||||
"core-foundation-sys",
|
||||
"libc",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "core-foundation"
|
||||
version = "0.10.1"
|
||||
@@ -499,9 +515,9 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "fa95a34622365fa5bbf40b20b75dba8dfa8c94c734aea8ac9a5ca38af14316f1"
|
||||
dependencies = [
|
||||
"bitflags 2.10.0",
|
||||
"core-foundation",
|
||||
"core-foundation 0.10.1",
|
||||
"core-graphics-types",
|
||||
"foreign-types",
|
||||
"foreign-types 0.5.0",
|
||||
"libc",
|
||||
]
|
||||
|
||||
@@ -512,7 +528,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "3d44a101f213f6c4cdc1853d4b78aef6db6bdfa3468798cc1d9912f4735013eb"
|
||||
dependencies = [
|
||||
"bitflags 2.10.0",
|
||||
"core-foundation",
|
||||
"core-foundation 0.10.1",
|
||||
"libc",
|
||||
]
|
||||
|
||||
@@ -665,6 +681,16 @@ dependencies = [
|
||||
"syn 2.0.114",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "der"
|
||||
version = "0.7.10"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "e7c1832837b905bbfb5101e07cc24c8deddf52f93225eee6ead5f4d63d53ddcb"
|
||||
dependencies = [
|
||||
"pem-rfc7468",
|
||||
"zeroize",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "deranged"
|
||||
version = "0.5.5"
|
||||
@@ -870,6 +896,16 @@ dependencies = [
|
||||
"typeid",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "errno"
|
||||
version = "0.3.14"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "39cab71617ae0d63f51a36d69f866391735b51691dbda63cf6f96d042b63efeb"
|
||||
dependencies = [
|
||||
"libc",
|
||||
"windows-sys 0.61.2",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exr"
|
||||
version = "1.74.0"
|
||||
@@ -885,6 +921,12 @@ dependencies = [
|
||||
"zune-inflate",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fastrand"
|
||||
version = "2.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
|
||||
|
||||
[[package]]
|
||||
name = "fax"
|
||||
version = "0.2.6"
|
||||
@@ -946,6 +988,15 @@ version = "1.0.7"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "3f9eec918d3f24069decb9af1554cad7c880e2da24a9afd88aca000531ab82c1"
|
||||
|
||||
[[package]]
|
||||
name = "foreign-types"
|
||||
version = "0.3.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f6f339eb8adc052cd2ca78910fda869aefa38d22d5cb648e6485e4d3fc06f3b1"
|
||||
dependencies = [
|
||||
"foreign-types-shared 0.1.1",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "foreign-types"
|
||||
version = "0.5.0"
|
||||
@@ -953,7 +1004,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "d737d9aa519fb7b749cbc3b962edcf310a8dd1f4b67c91c4f83975dbdd17d965"
|
||||
dependencies = [
|
||||
"foreign-types-macros",
|
||||
"foreign-types-shared",
|
||||
"foreign-types-shared 0.3.1",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -967,6 +1018,12 @@ dependencies = [
|
||||
"syn 2.0.114",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "foreign-types-shared"
|
||||
version = "0.1.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "00b0228411908ca8685dba7fc2cdd70ec9990a6e753e89b6ac91a84c40fbaf4b"
|
||||
|
||||
[[package]]
|
||||
name = "foreign-types-shared"
|
||||
version = "0.3.1"
|
||||
@@ -1417,6 +1474,12 @@ version = "0.4.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "7f24254aa9a54b5c858eaee2f5bccdb46aaf0e486a595ed5fd8f86ba55232a70"
|
||||
|
||||
[[package]]
|
||||
name = "hmac-sha256"
|
||||
version = "1.1.12"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ad6880c8d4a9ebf39c6e8b77007ce223f646a4d21ce29d99f70cb16420545425"
|
||||
|
||||
[[package]]
|
||||
name = "html5ever"
|
||||
version = "0.29.1"
|
||||
@@ -1944,7 +2007,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "6e9ec52138abedcc58dc17a7c6c0c00a2bdb4f3427c7f63fa97fd0d859155caf"
|
||||
dependencies = [
|
||||
"gtk-sys",
|
||||
"libloading",
|
||||
"libloading 0.7.4",
|
||||
"once_cell",
|
||||
]
|
||||
|
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@@ -1974,6 +2037,16 @@ dependencies = [
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||||
"winapi",
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||||
]
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@@ -1990,6 +2063,12 @@ dependencies = [
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"libc",
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"imgref",
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[[package]]
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@@ -2165,6 +2250,53 @@ dependencies = [
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"typenum",
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[[package]]
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"log",
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"openssl-sys",
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"schannel",
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||||
"security-framework",
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||||
"security-framework-sys",
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||||
"tempfile",
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||||
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||||
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||||
"num-traits",
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||||
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||||
"portable-atomic-util",
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||||
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||||
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||||
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||||
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||||
"num-traits",
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||||
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|
||||
"portable-atomic-util",
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||||
"rawpointer",
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||||
]
|
||||
|
||||
[[package]]
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||||
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@@ -2553,12 +2685,81 @@ version = "1.21.3"
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"openssl-sys",
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"libc",
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||||
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||||
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||||
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||||
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"ort-sys",
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||||
"tracing",
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||||
"ureq",
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||||
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||||
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||||
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||||
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||||
|
||||
[[package]]
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@@ -2628,6 +2829,15 @@ version = "0.1.1"
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[[package]]
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@@ -2825,6 +3035,21 @@ dependencies = [
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"miniz_oxide",
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]
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||||
|
||||
[[package]]
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||||
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[[package]]
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"portable-atomic",
|
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||||
|
||||
[[package]]
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||||
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|
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@@ -3335,6 +3560,28 @@ dependencies = [
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||||
"semver",
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]
|
||||
|
||||
[[package]]
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||||
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"bitflags 2.10.0",
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||||
"errno",
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||||
"libc",
|
||||
"linux-raw-sys",
|
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"windows-sys 0.61.2",
|
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]
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||||
|
||||
[[package]]
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||||
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|
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"zeroize",
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|
||||
|
||||
[[package]]
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||||
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|
||||
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|
||||
@@ -3365,6 +3612,15 @@ dependencies = [
|
||||
"winapi-util",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
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||||
|
||||
[[package]]
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||||
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@@ -3422,6 +3678,29 @@ version = "1.2.0"
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"libc",
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"security-framework-sys",
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||||
|
||||
[[package]]
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"core-foundation-sys",
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||||
"libc",
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||||
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|
||||
|
||||
[[package]]
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||||
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|
||||
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|
||||
@@ -3699,6 +3978,17 @@ dependencies = [
|
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"windows-sys 0.60.2",
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]
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||||
|
||||
[[package]]
|
||||
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|
||||
"byteorder",
|
||||
"libc",
|
||||
"winapi",
|
||||
]
|
||||
|
||||
[[package]]
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||||
name = "softbuffer"
|
||||
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||||
@@ -3858,7 +4148,7 @@ checksum = "f3a753bdc39c07b192151523a3f77cd0394aa75413802c883a0f6f6a0e5ee2e7"
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||||
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|
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"block2",
|
||||
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|
||||
"core-foundation 0.10.1",
|
||||
"core-graphics",
|
||||
"crossbeam-channel",
|
||||
"dispatch",
|
||||
@@ -4180,6 +4470,19 @@ dependencies = [
|
||||
"toml 0.9.11+spec-1.1.0",
|
||||
]
|
||||
|
||||
[[package]]
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||||
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||||
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|
||||
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||||
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|
||||
"once_cell",
|
||||
"rustix",
|
||||
"windows-sys 0.61.2",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tendril"
|
||||
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||||
@@ -4572,6 +4875,36 @@ version = "1.12.0"
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||||
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||||
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||||
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||||
"der",
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||||
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||||
"native-tls",
|
||||
"percent-encoding",
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||||
"rustls-pki-types",
|
||||
"socks",
|
||||
"ureq-proto",
|
||||
"utf-8",
|
||||
"webpki-root-certs",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ureq-proto"
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||||
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|
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"base64 0.22.1",
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||||
"http",
|
||||
"httparse",
|
||||
"log",
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]
|
||||
|
||||
[[package]]
|
||||
name = "url"
|
||||
version = "2.5.8"
|
||||
@@ -4632,6 +4965,12 @@ dependencies = [
|
||||
"wasm-bindgen",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "vcpkg"
|
||||
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|
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|
||||
|
||||
[[package]]
|
||||
name = "version-compare"
|
||||
version = "0.2.1"
|
||||
@@ -4778,11 +5117,13 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "watermark-wizard"
|
||||
version = "0.1.0"
|
||||
version = "1.0.1"
|
||||
dependencies = [
|
||||
"ab_glyph",
|
||||
"image",
|
||||
"imageproc",
|
||||
"ndarray 0.16.1",
|
||||
"ort",
|
||||
"rayon",
|
||||
"serde",
|
||||
"serde_json",
|
||||
@@ -4845,6 +5186,15 @@ dependencies = [
|
||||
"system-deps",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "webpki-root-certs"
|
||||
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||||
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|
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"rustls-pki-types",
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|
||||
|
||||
[[package]]
|
||||
name = "webview2-com"
|
||||
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|
||||
@@ -5498,6 +5848,12 @@ dependencies = [
|
||||
"synstructure",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zeroize"
|
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||||
|
||||
[[package]]
|
||||
name = "zerotrie"
|
||||
version = "0.2.3"
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
[package]
|
||||
name = "watermark-wizard"
|
||||
version = "0.1.0"
|
||||
description = "A Tauri App"
|
||||
authors = ["you"]
|
||||
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|
||||
description = "A Tauri App handles watermarks"
|
||||
authors = ["Julian"]
|
||||
edition = "2021"
|
||||
|
||||
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
|
||||
@@ -26,4 +26,6 @@ rayon = "1.10"
|
||||
tauri-plugin-dialog = "2"
|
||||
imageproc = "0.25"
|
||||
ab_glyph = "0.2.23"
|
||||
ort = { version = "=2.0.0-rc.11", features = ["load-dynamic", "directml"] }
|
||||
ndarray = "0.16"
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 3.4 KiB After Width: | Height: | Size: 7.9 KiB |
|
Before Width: | Height: | Size: 6.8 KiB After Width: | Height: | Size: 17 KiB |
|
Before Width: | Height: | Size: 974 B After Width: | Height: | Size: 1.5 KiB |
BIN
src-tauri/icons/64x64.png
Normal file
|
After Width: | Height: | Size: 3.3 KiB |
|
Before Width: | Height: | Size: 2.8 KiB After Width: | Height: | Size: 6.3 KiB |
|
Before Width: | Height: | Size: 3.8 KiB After Width: | Height: | Size: 8.8 KiB |
|
Before Width: | Height: | Size: 3.9 KiB After Width: | Height: | Size: 9.5 KiB |
|
Before Width: | Height: | Size: 7.6 KiB After Width: | Height: | Size: 19 KiB |
|
Before Width: | Height: | Size: 903 B After Width: | Height: | Size: 1.4 KiB |
|
Before Width: | Height: | Size: 8.4 KiB After Width: | Height: | Size: 21 KiB |
|
Before Width: | Height: | Size: 1.3 KiB After Width: | Height: | Size: 2.1 KiB |
|
Before Width: | Height: | Size: 2.0 KiB After Width: | Height: | Size: 3.8 KiB |
|
Before Width: | Height: | Size: 2.4 KiB After Width: | Height: | Size: 4.9 KiB |
|
Before Width: | Height: | Size: 1.5 KiB After Width: | Height: | Size: 2.5 KiB |
@@ -0,0 +1,5 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<foreground android:drawable="@mipmap/ic_launcher_foreground"/>
|
||||
<background android:drawable="@color/ic_launcher_background"/>
|
||||
</adaptive-icon>
|
||||
BIN
src-tauri/icons/android/mipmap-hdpi/ic_launcher.png
Normal file
|
After Width: | Height: | Size: 2.7 KiB |
BIN
src-tauri/icons/android/mipmap-hdpi/ic_launcher_foreground.png
Normal file
|
After Width: | Height: | Size: 10 KiB |
BIN
src-tauri/icons/android/mipmap-hdpi/ic_launcher_round.png
Normal file
|
After Width: | Height: | Size: 2.3 KiB |
BIN
src-tauri/icons/android/mipmap-mdpi/ic_launcher.png
Normal file
|
After Width: | Height: | Size: 2.6 KiB |
BIN
src-tauri/icons/android/mipmap-mdpi/ic_launcher_foreground.png
Normal file
|
After Width: | Height: | Size: 6.4 KiB |
BIN
src-tauri/icons/android/mipmap-mdpi/ic_launcher_round.png
Normal file
|
After Width: | Height: | Size: 2.3 KiB |
BIN
src-tauri/icons/android/mipmap-xhdpi/ic_launcher.png
Normal file
|
After Width: | Height: | Size: 5.7 KiB |
BIN
src-tauri/icons/android/mipmap-xhdpi/ic_launcher_foreground.png
Normal file
|
After Width: | Height: | Size: 14 KiB |
BIN
src-tauri/icons/android/mipmap-xhdpi/ic_launcher_round.png
Normal file
|
After Width: | Height: | Size: 4.8 KiB |
BIN
src-tauri/icons/android/mipmap-xxhdpi/ic_launcher.png
Normal file
|
After Width: | Height: | Size: 9.4 KiB |
BIN
src-tauri/icons/android/mipmap-xxhdpi/ic_launcher_foreground.png
Normal file
|
After Width: | Height: | Size: 22 KiB |
BIN
src-tauri/icons/android/mipmap-xxhdpi/ic_launcher_round.png
Normal file
|
After Width: | Height: | Size: 7.8 KiB |
BIN
src-tauri/icons/android/mipmap-xxxhdpi/ic_launcher.png
Normal file
|
After Width: | Height: | Size: 13 KiB |
|
After Width: | Height: | Size: 30 KiB |
BIN
src-tauri/icons/android/mipmap-xxxhdpi/ic_launcher_round.png
Normal file
|
After Width: | Height: | Size: 11 KiB |
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<resources>
|
||||
<color name="ic_launcher_background">#fff</color>
|
||||
</resources>
|
||||
|
Before Width: | Height: | Size: 85 KiB After Width: | Height: | Size: 28 KiB |
|
Before Width: | Height: | Size: 14 KiB After Width: | Height: | Size: 37 KiB |
BIN
src-tauri/icons/ios/AppIcon-20x20@1x.png
Normal file
|
After Width: | Height: | Size: 793 B |
BIN
src-tauri/icons/ios/AppIcon-20x20@2x-1.png
Normal file
|
After Width: | Height: | Size: 1.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-20x20@2x.png
Normal file
|
After Width: | Height: | Size: 1.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-20x20@3x.png
Normal file
|
After Width: | Height: | Size: 2.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-29x29@1x.png
Normal file
|
After Width: | Height: | Size: 1.2 KiB |
BIN
src-tauri/icons/ios/AppIcon-29x29@2x-1.png
Normal file
|
After Width: | Height: | Size: 2.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-29x29@2x.png
Normal file
|
After Width: | Height: | Size: 2.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-29x29@3x.png
Normal file
|
After Width: | Height: | Size: 4.4 KiB |
BIN
src-tauri/icons/ios/AppIcon-40x40@1x.png
Normal file
|
After Width: | Height: | Size: 1.8 KiB |
BIN
src-tauri/icons/ios/AppIcon-40x40@2x-1.png
Normal file
|
After Width: | Height: | Size: 4.0 KiB |
BIN
src-tauri/icons/ios/AppIcon-40x40@2x.png
Normal file
|
After Width: | Height: | Size: 4.0 KiB |
BIN
src-tauri/icons/ios/AppIcon-40x40@3x.png
Normal file
|
After Width: | Height: | Size: 6.6 KiB |
BIN
src-tauri/icons/ios/AppIcon-512@2x.png
Normal file
|
After Width: | Height: | Size: 42 KiB |
BIN
src-tauri/icons/ios/AppIcon-60x60@2x.png
Normal file
|
After Width: | Height: | Size: 6.6 KiB |
BIN
src-tauri/icons/ios/AppIcon-60x60@3x.png
Normal file
|
After Width: | Height: | Size: 10 KiB |
BIN
src-tauri/icons/ios/AppIcon-76x76@1x.png
Normal file
|
After Width: | Height: | Size: 3.7 KiB |
BIN
src-tauri/icons/ios/AppIcon-76x76@2x.png
Normal file
|
After Width: | Height: | Size: 8.6 KiB |
BIN
src-tauri/icons/ios/AppIcon-83.5x83.5@2x.png
Normal file
|
After Width: | Height: | Size: 9.4 KiB |
133
src-tauri/src/lama.rs
Normal file
@@ -0,0 +1,133 @@
|
||||
use crate::ort_ops;
|
||||
use image::{Rgba, RgbaImage};
|
||||
use ort::value::Value;
|
||||
|
||||
pub fn run_lama_inpainting(
|
||||
model_path: &std::path::Path,
|
||||
input_image: &RgbaImage,
|
||||
mask_image: &image::GrayImage,
|
||||
) -> Result<RgbaImage, String> {
|
||||
// 1. Initialize Session
|
||||
let mut session = ort_ops::create_session(model_path)
|
||||
.map_err(|e| format!("Failed to create ORT session for LAMA: {}", e))?;
|
||||
|
||||
// 2. Preprocess
|
||||
let target_size = (512, 512);
|
||||
|
||||
let resized_img = image::imageops::resize(input_image, target_size.0, target_size.1, image::imageops::FilterType::Triangle);
|
||||
let resized_mask = image::imageops::resize(mask_image, target_size.0, target_size.1, image::imageops::FilterType::Triangle);
|
||||
|
||||
// Flatten Image to Vec<f32> (NCHW: 1, 3, 512, 512)
|
||||
let channel_stride = (target_size.0 * target_size.1) as usize;
|
||||
let mut input_data: Vec<f32> = Vec::with_capacity(1 * 3 * channel_stride);
|
||||
|
||||
// We need to fill R plane, then G plane, then B plane
|
||||
let mut r_plane: Vec<f32> = Vec::with_capacity(channel_stride);
|
||||
let mut g_plane: Vec<f32> = Vec::with_capacity(channel_stride);
|
||||
let mut b_plane: Vec<f32> = Vec::with_capacity(channel_stride);
|
||||
|
||||
for (_x, _y, pixel) in resized_img.enumerate_pixels() {
|
||||
r_plane.push(pixel[0] as f32 / 255.0f32);
|
||||
g_plane.push(pixel[1] as f32 / 255.0f32);
|
||||
b_plane.push(pixel[2] as f32 / 255.0f32);
|
||||
}
|
||||
|
||||
input_data.extend(r_plane);
|
||||
input_data.extend(g_plane);
|
||||
input_data.extend(b_plane);
|
||||
|
||||
// Flatten Mask to Vec<f32> (NCHW: 1, 1, 512, 512)
|
||||
let mut mask_data: Vec<f32> = Vec::with_capacity(channel_stride);
|
||||
for (_x, _y, pixel) in resized_mask.enumerate_pixels() {
|
||||
let val = if pixel[0] > 127 { 1.0f32 } else { 0.0f32 };
|
||||
mask_data.push(val);
|
||||
}
|
||||
|
||||
// 3. Inference
|
||||
// Use (Shape, Data) tuple which implements OwnedTensorArrayData
|
||||
// Explicitly casting shape to i64 is correct for ORT
|
||||
let input_shape = vec![1, 3, target_size.1 as i64, target_size.0 as i64];
|
||||
let input_value = Value::from_array((input_shape, input_data))
|
||||
.map_err(|e| format!("Failed to create input tensor: {}", e))?;
|
||||
|
||||
let mask_shape = vec![1, 1, target_size.1 as i64, target_size.0 as i64];
|
||||
let mask_value = Value::from_array((mask_shape, mask_data))
|
||||
.map_err(|e| format!("Failed to create mask tensor: {}", e))?;
|
||||
|
||||
let inputs = ort::inputs![
|
||||
"image" => input_value,
|
||||
"mask" => mask_value
|
||||
];
|
||||
|
||||
let outputs = session.run(inputs).map_err(|e| format!("Inference failed: {}", e))?;
|
||||
|
||||
// Get output tensor
|
||||
// Just take the first output.
|
||||
let output_tensor_ref = outputs.values().next()
|
||||
.ok_or("No output tensor produced by model")?;
|
||||
|
||||
let (shape, data) = output_tensor_ref.try_extract_tensor::<f32>()
|
||||
.map_err(|e| format!("Failed to extract tensor: {}", e))?;
|
||||
|
||||
// 4. Post-process
|
||||
let mut output_img_512 = RgbaImage::new(target_size.0, target_size.1);
|
||||
|
||||
if shape.len() < 4 {
|
||||
return Err(format!("Unexpected output shape: {:?}", shape));
|
||||
}
|
||||
|
||||
let h = 512;
|
||||
let w = 512;
|
||||
let channel_stride = (h * w) as usize;
|
||||
|
||||
// Safety check on data length
|
||||
if data.len() < (3 * h * w) as usize {
|
||||
return Err(format!("Output data size mismatch. Expected {}, got {}", 3*h*w, data.len()));
|
||||
}
|
||||
|
||||
// Auto-detect output range
|
||||
// If values are already in 0-255 range, multiplying by 255 results in all white image.
|
||||
let mut max_val = 0.0f32;
|
||||
// Check a subset of pixels to avoid iterating everything if speed is key, but full scan is safer and fast enough.
|
||||
for v in data.iter().take(1000) {
|
||||
if *v > max_val { max_val = *v; }
|
||||
}
|
||||
|
||||
// Heuristic: if max > 2.0, it's likely 0-255. If it's <= 1.0 (or slightly above due to overshoot), it's 0-1.
|
||||
// LaMa usually outputs -1..1 or 0..1. But some exports differ.
|
||||
// Let's assume if any value is > 5.0, it is definitely not 0-1 normalized.
|
||||
let scale_factor = if max_val > 2.0 { 1.0 } else { 255.0 };
|
||||
|
||||
for y in 0..h {
|
||||
for x in 0..w {
|
||||
let offset = (y * w + x) as usize;
|
||||
|
||||
let r_idx = offset;
|
||||
let g_idx = offset + channel_stride;
|
||||
let b_idx = offset + 2 * channel_stride;
|
||||
|
||||
let r = (data[r_idx] * scale_factor).clamp(0.0, 255.0) as u8;
|
||||
let g = (data[g_idx] * scale_factor).clamp(0.0, 255.0) as u8;
|
||||
let b = (data[b_idx] * scale_factor).clamp(0.0, 255.0) as u8;
|
||||
|
||||
output_img_512.put_pixel(x, y, Rgba([r, g, b, 255]));
|
||||
}
|
||||
}
|
||||
|
||||
// Resize back to original
|
||||
let (orig_w, orig_h) = input_image.dimensions();
|
||||
let final_inpainted = image::imageops::resize(&output_img_512, orig_w, orig_h, image::imageops::FilterType::Lanczos3);
|
||||
|
||||
// 5. Blending
|
||||
let mut result_image = input_image.clone();
|
||||
|
||||
for y in 0..orig_h {
|
||||
for x in 0..orig_w {
|
||||
if mask_image.get_pixel(x, y)[0] > 127 {
|
||||
result_image.put_pixel(x, y, *final_inpainted.get_pixel(x, y));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(result_image)
|
||||
}
|
||||
@@ -19,6 +19,14 @@ fn get_cache_dir() -> std::path::PathBuf {
|
||||
path
|
||||
}
|
||||
|
||||
fn load_image_safe(path: &Path) -> Result<image::DynamicImage, String> {
|
||||
let bytes = fs::read(path).map_err(|e| {
|
||||
let exists = path.exists();
|
||||
format!("读取文件失败 (存在: {}) / Failed to read file '{}': {}", exists, path.to_string_lossy(), e)
|
||||
})?;
|
||||
image::load_from_memory(&bytes).map_err(|e| format!("图片解码失败 / Failed to decode image '{}': {}", path.to_string_lossy(), e))
|
||||
}
|
||||
|
||||
fn generate_thumbnail(original_path: &Path) -> Option<String> {
|
||||
let cache_dir = get_cache_dir();
|
||||
|
||||
@@ -35,7 +43,7 @@ fn generate_thumbnail(original_path: &Path) -> Option<String> {
|
||||
}
|
||||
|
||||
// Generate
|
||||
if let Ok(img) = image::open(original_path) {
|
||||
if let Ok(img) = load_image_safe(original_path) {
|
||||
let thumb = img.thumbnail(u32::MAX, 200);
|
||||
let _file = fs::File::create(&thumb_path).ok()?;
|
||||
thumb.save_with_format(&thumb_path, image::ImageFormat::Jpeg).ok()?;
|
||||
@@ -92,6 +100,11 @@ use rayon::prelude::*;
|
||||
use std::path::Path;
|
||||
use imageproc::drawing::draw_text_mut;
|
||||
use ab_glyph::{FontRef, PxScale};
|
||||
use tauri::{AppHandle, Manager};
|
||||
|
||||
pub mod lama;
|
||||
pub mod ocr;
|
||||
pub mod ort_ops;
|
||||
|
||||
// Embed the font to ensure it's always available without path issues
|
||||
const FONT_DATA: &[u8] = include_bytes!("../assets/fonts/Roboto-Regular.ttf");
|
||||
@@ -106,6 +119,7 @@ struct ZcaResult {
|
||||
#[derive(serde::Deserialize)]
|
||||
struct ExportImageTask {
|
||||
path: String,
|
||||
output_filename: Option<String>,
|
||||
manual_position: Option<ManualPosition>,
|
||||
scale: Option<f64>,
|
||||
opacity: Option<f64>,
|
||||
@@ -140,109 +154,122 @@ fn parse_hex_color(hex: &str) -> image::Rgba<u8> {
|
||||
}
|
||||
|
||||
#[tauri::command]
|
||||
async fn export_batch(images: Vec<ExportImageTask>, watermark: WatermarkSettings, output_dir: String) -> Result<String, String> {
|
||||
async fn export_batch(images: Vec<ExportImageTask>, watermark: WatermarkSettings, output_dir: String, mode: String) -> Result<String, String> {
|
||||
let font = FontRef::try_from_slice(FONT_DATA).map_err(|e| format!("Font error: {}", e))?;
|
||||
|
||||
// Note: Settings are now resolved per-task
|
||||
|
||||
let results: Vec<Result<(), String>> = images.par_iter().map(|task| {
|
||||
let input_path = Path::new(&task.path);
|
||||
let img_result = image::open(input_path);
|
||||
|
||||
if let Ok(dynamic_img) = img_result {
|
||||
// Use safe loading helper
|
||||
let img_result = load_image_safe(input_path);
|
||||
|
||||
if let Ok(dynamic_img) = &img_result {
|
||||
let mut base_img = dynamic_img.to_rgba8();
|
||||
let (width, height) = base_img.dimensions();
|
||||
|
||||
// Determine effective settings (Task > Global)
|
||||
let eff_scale = task.scale.unwrap_or(watermark.scale);
|
||||
let eff_opacity = task.opacity.unwrap_or(watermark.opacity);
|
||||
let eff_color_hex = task.color.as_ref().unwrap_or(&watermark.color);
|
||||
// ONLY EXECUTE WATERMARK LOGIC IF MODE IS 'ADD'
|
||||
if mode == "add" {
|
||||
// Determine effective settings (Task > Global)
|
||||
let eff_scale = task.scale.unwrap_or(watermark.scale);
|
||||
let eff_opacity = task.opacity.unwrap_or(watermark.opacity);
|
||||
let eff_color_hex = task.color.as_ref().unwrap_or(&watermark.color);
|
||||
|
||||
// Calculate final color
|
||||
let base_color = parse_hex_color(eff_color_hex);
|
||||
let alpha = (eff_opacity * 255.0) as u8;
|
||||
let text_color = image::Rgba([base_color[0], base_color[1], base_color[2], alpha]);
|
||||
// Calculate final color
|
||||
let base_color = parse_hex_color(eff_color_hex);
|
||||
let alpha = (eff_opacity * 255.0) as u8;
|
||||
let text_color = image::Rgba([base_color[0], base_color[1], base_color[2], alpha]);
|
||||
|
||||
// 1. Calculate Font Scale based on Image Height
|
||||
let mut scale_px = height as f32 * eff_scale as f32;
|
||||
|
||||
// 2. Measure Text
|
||||
let scaled_font = PxScale::from(scale_px);
|
||||
let (t_width, _t_height) = imageproc::drawing::text_size(scaled_font, &font, &watermark.text);
|
||||
|
||||
// 3. Ensure it fits width (Padding 15%)
|
||||
let max_width = (width as f32 * 0.85) as u32;
|
||||
if t_width > max_width {
|
||||
let ratio = max_width as f32 / t_width as f32;
|
||||
scale_px *= ratio;
|
||||
}
|
||||
let final_scale = PxScale::from(scale_px);
|
||||
let (final_t_width, final_t_height) = imageproc::drawing::text_size(final_scale, &font, &watermark.text);
|
||||
// 1. Calculate Font Scale based on Image Height
|
||||
let mut scale_px = height as f32 * eff_scale as f32;
|
||||
|
||||
// 2. Measure Text
|
||||
let scaled_font = PxScale::from(scale_px);
|
||||
let (t_width, _t_height) = imageproc::drawing::text_size(scaled_font, &font, &watermark.text);
|
||||
|
||||
// 3. Ensure it fits width (Padding 15%)
|
||||
let max_width = (width as f32 * 0.85) as u32;
|
||||
if t_width > max_width {
|
||||
let ratio = max_width as f32 / t_width as f32;
|
||||
scale_px *= ratio;
|
||||
}
|
||||
let final_scale = PxScale::from(scale_px);
|
||||
let (final_t_width, final_t_height) = imageproc::drawing::text_size(final_scale, &font, &watermark.text);
|
||||
|
||||
// 4. Determine Position (Task Specific > ZCA)
|
||||
// If task has manual_position, use it. Otherwise calculate ZCA.
|
||||
let (pos_x_pct, pos_y_pct) = if let Some(pos) = &task.manual_position {
|
||||
(pos.x, pos.y)
|
||||
} else {
|
||||
match calculate_zca_internal(&dynamic_img) {
|
||||
Ok(res) => (res.x, res.y),
|
||||
Err(_) => (0.5, 0.97),
|
||||
}
|
||||
};
|
||||
// 4. Determine Position (Task Specific > ZCA)
|
||||
// If task has manual_position, use it. Otherwise calculate ZCA.
|
||||
let (pos_x_pct, pos_y_pct) = if let Some(pos) = &task.manual_position {
|
||||
(pos.x, pos.y)
|
||||
} else {
|
||||
match calculate_zca_internal(&dynamic_img) {
|
||||
Ok(res) => (res.x, res.y),
|
||||
Err(_) => (0.5, 0.97),
|
||||
}
|
||||
};
|
||||
|
||||
// Calculate initial top-left based on center
|
||||
let center_x = width as f64 * pos_x_pct;
|
||||
let center_y = height as f64 * pos_y_pct;
|
||||
// Calculate initial top-left based on center
|
||||
let center_x = width as f64 * pos_x_pct;
|
||||
let center_y = height as f64 * pos_y_pct;
|
||||
|
||||
let mut x = (center_x - (final_t_width as f64 / 2.0)) as i32;
|
||||
let mut y = (center_y - (final_t_height as f64 / 2.0)) as i32;
|
||||
|
||||
// 5. Strict Boundary Clamping
|
||||
// We ensure the text box (final_t_width, final_t_height) is always inside (0, 0, width, height)
|
||||
let min_padding = 2; // Absolute minimum pixels from edge
|
||||
|
||||
if x < min_padding { x = min_padding; }
|
||||
if y < min_padding { y = min_padding; }
|
||||
if x + final_t_width as i32 > width as i32 - min_padding {
|
||||
x = width as i32 - final_t_width as i32 - min_padding;
|
||||
}
|
||||
if y + final_t_height as i32 > height as i32 - min_padding {
|
||||
y = height as i32 - final_t_height as i32 - min_padding;
|
||||
}
|
||||
|
||||
// Re-clamp just in case of very small images where text is larger than image
|
||||
x = x.max(0);
|
||||
y = y.max(0);
|
||||
|
||||
// 6. Draw Stroke (Simple 4-direction offset for black outline)
|
||||
// Stroke alpha should match text alpha
|
||||
let stroke_color = image::Rgba([0, 0, 0, text_color[3]]);
|
||||
for offset in [(-1, -1), (-1, 1), (1, -1), (1, 1)] {
|
||||
draw_text_mut(
|
||||
&mut base_img,
|
||||
stroke_color,
|
||||
x + offset.0,
|
||||
y + offset.1,
|
||||
final_scale,
|
||||
&font,
|
||||
&watermark.text,
|
||||
);
|
||||
}
|
||||
let mut x = (center_x - (final_t_width as f64 / 2.0)) as i32;
|
||||
let mut y = (center_y - (final_t_height as f64 / 2.0)) as i32;
|
||||
|
||||
// 5. Strict Boundary Clamping
|
||||
// We ensure the text box (final_t_width, final_t_height) is always inside (0, 0, width, height)
|
||||
let min_padding = 2; // Absolute minimum pixels from edge
|
||||
|
||||
if x < min_padding { x = min_padding; }
|
||||
if y < min_padding { y = min_padding; }
|
||||
if x + final_t_width as i32 > width as i32 - min_padding {
|
||||
x = width as i32 - final_t_width as i32 - min_padding;
|
||||
}
|
||||
if y + final_t_height as i32 > height as i32 - min_padding {
|
||||
y = height as i32 - final_t_height as i32 - min_padding;
|
||||
}
|
||||
|
||||
// Re-clamp just in case of very small images where text is larger than image
|
||||
x = x.max(0);
|
||||
y = y.max(0);
|
||||
|
||||
// SKIP DRAWING if text is empty (e.g. Remove Mode)
|
||||
if !watermark.text.trim().is_empty() {
|
||||
// 6. Draw Stroke (Simple 4-direction offset for black outline)
|
||||
// Stroke alpha should match text alpha
|
||||
let stroke_color = image::Rgba([0, 0, 0, text_color[3]]);
|
||||
for offset in [(-1, -1), (-1, 1), (1, -1), (1, 1)] {
|
||||
draw_text_mut(
|
||||
&mut base_img,
|
||||
stroke_color,
|
||||
x + offset.0,
|
||||
y + offset.1,
|
||||
final_scale,
|
||||
&font,
|
||||
&watermark.text,
|
||||
);
|
||||
}
|
||||
|
||||
// 7. Draw Main Text
|
||||
draw_text_mut(
|
||||
&mut base_img,
|
||||
text_color,
|
||||
x,
|
||||
y,
|
||||
final_scale,
|
||||
&font,
|
||||
&watermark.text,
|
||||
);
|
||||
// 7. Draw Main Text
|
||||
draw_text_mut(
|
||||
&mut base_img,
|
||||
text_color,
|
||||
x,
|
||||
y,
|
||||
final_scale,
|
||||
&font,
|
||||
&watermark.text,
|
||||
);
|
||||
}
|
||||
} // END IF MODE == ADD
|
||||
|
||||
// Save
|
||||
let file_name = input_path.file_name().unwrap_or_default();
|
||||
// Prioritize explicitly provided output filename (from original path), fall back to input filename
|
||||
let file_name = match &task.output_filename {
|
||||
Some(name) => std::ffi::OsStr::new(name),
|
||||
None => input_path.file_name().unwrap_or_default()
|
||||
};
|
||||
let output_path = Path::new(&output_dir).join(file_name);
|
||||
let _output_path = Path::new(&output_dir).join(file_name);
|
||||
|
||||
// Handle format specific saving
|
||||
// JPEG does not support Alpha channel. If we save Rgba8 to Jpeg, it might fail or look wrong.
|
||||
@@ -260,7 +287,7 @@ async fn export_batch(images: Vec<ExportImageTask>, watermark: WatermarkSettings
|
||||
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Failed to open {}", task.path))
|
||||
Err(img_result.unwrap_err())
|
||||
}
|
||||
}).collect();
|
||||
|
||||
@@ -369,7 +396,7 @@ fn calculate_zca_internal(img: &image::DynamicImage) -> Result<ZcaResult, String
|
||||
|
||||
#[tauri::command]
|
||||
fn get_zca_suggestion(path: String) -> Result<ZcaResult, String> {
|
||||
let img = image::open(&path).map_err(|e| e.to_string())?;
|
||||
let img = load_image_safe(Path::new(&path))?;
|
||||
calculate_zca_internal(&img)
|
||||
}
|
||||
|
||||
@@ -382,7 +409,7 @@ struct LayoutResult {
|
||||
|
||||
#[tauri::command]
|
||||
async fn layout_watermark(path: String, text: String, base_scale: f64) -> Result<LayoutResult, String> {
|
||||
let img = image::open(&path).map_err(|e| e.to_string())?;
|
||||
let img = load_image_safe(Path::new(&path))?;
|
||||
let (width, height) = img.dimensions();
|
||||
let font = FontRef::try_from_slice(FONT_DATA).map_err(|e| format!("Font error: {}", e))?;
|
||||
|
||||
@@ -450,36 +477,109 @@ struct Rect {
|
||||
}
|
||||
|
||||
#[tauri::command]
|
||||
async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
let img = image::open(&path).map_err(|e| e.to_string())?;
|
||||
let (width, height) = img.dimensions();
|
||||
let gray = img.to_luma8();
|
||||
async fn detect_watermark(app: AppHandle, path: String) -> Result<DetectionResult, String> {
|
||||
let img = load_image_safe(Path::new(&path))?.to_rgba8();
|
||||
|
||||
// Heuristic:
|
||||
// 1. Scan Top 20% and Bottom 20%
|
||||
// 2. Look for high brightness pixels (> 230)
|
||||
// 3. Grid based clustering
|
||||
// 1. Try OCR Detection
|
||||
let ocr_model_path = app.path().resource_dir()
|
||||
.map_err(|e| e.to_string())?
|
||||
.join("resources")
|
||||
.join("en_PP-OCRv3_det_infer.onnx");
|
||||
|
||||
if ocr_model_path.exists() {
|
||||
println!("Using OCR model for detection");
|
||||
match ocr::run_ocr_detection(&ocr_model_path, &img) {
|
||||
Ok(boxes) => {
|
||||
let rects = boxes.into_iter().map(|b| Rect {
|
||||
x: b.x,
|
||||
y: b.y,
|
||||
width: b.width,
|
||||
height: b.height,
|
||||
}).collect();
|
||||
return Ok(DetectionResult { rects });
|
||||
}
|
||||
Err(e) => {
|
||||
eprintln!("OCR Detection failed: {}", e);
|
||||
// Fallthrough to legacy
|
||||
}
|
||||
}
|
||||
} else {
|
||||
eprintln!("OCR model not found at {:?}", ocr_model_path);
|
||||
}
|
||||
|
||||
// 2. Legacy Detection (Fallback)
|
||||
println!("Falling back to legacy detection");
|
||||
let (width, height) = img.dimensions();
|
||||
let gray = image::DynamicImage::ImageRgba8(img.clone()).to_luma8();
|
||||
|
||||
let cell_size = 10;
|
||||
let grid_w = (width + cell_size - 1) / cell_size;
|
||||
let grid_h = (height + cell_size - 1) / cell_size;
|
||||
let mut grid = vec![false; (grid_w * grid_h) as usize];
|
||||
|
||||
let top_limit = (height as f64 * 0.2) as u32;
|
||||
let bottom_start = (height as f64 * 0.8) as u32;
|
||||
let top_limit = (height as f64 * 0.15) as u32;
|
||||
let bottom_start = (height as f64 * 0.75) as u32;
|
||||
let max_stroke_width = 15;
|
||||
let contrast_threshold = 40;
|
||||
let brightness_threshold = 200;
|
||||
|
||||
for y in 0..height {
|
||||
// Skip middle section
|
||||
if y > top_limit && y < bottom_start {
|
||||
continue;
|
||||
}
|
||||
for y in 1..height-1 {
|
||||
if y > top_limit && y < bottom_start { continue; }
|
||||
|
||||
for x in 0..width {
|
||||
let p = gray.get_pixel(x, y);
|
||||
if p[0] > 230 { // High brightness threshold
|
||||
// Check local contrast/edges?
|
||||
// For now, simple brightness is a good proxy for "white text"
|
||||
// Mark grid cell
|
||||
for x in 1..width-1 {
|
||||
let p = gray.get_pixel(x, y)[0];
|
||||
if p < brightness_threshold { continue; }
|
||||
|
||||
let mut is_stroke = false;
|
||||
let mut left_bound = false;
|
||||
let mut right_bound = false;
|
||||
|
||||
for k in 1..=max_stroke_width {
|
||||
if x < k { break; }
|
||||
let neighbor = gray.get_pixel(x - k, y)[0];
|
||||
if p > neighbor && (p - neighbor) > contrast_threshold {
|
||||
left_bound = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if left_bound {
|
||||
for k in 1..=max_stroke_width {
|
||||
if x + k >= width { break; }
|
||||
let neighbor = gray.get_pixel(x + k, y)[0];
|
||||
if p > neighbor && (p - neighbor) > contrast_threshold {
|
||||
right_bound = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if left_bound && right_bound {
|
||||
is_stroke = true;
|
||||
} else {
|
||||
let mut up_bound = false;
|
||||
let mut down_bound = false;
|
||||
for k in 1..=max_stroke_width {
|
||||
if y < k { break; }
|
||||
let neighbor = gray.get_pixel(x, y - k)[0];
|
||||
if p > neighbor && (p - neighbor) > contrast_threshold {
|
||||
up_bound = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if up_bound {
|
||||
for k in 1..=max_stroke_width {
|
||||
if y + k >= height { break; }
|
||||
let neighbor = gray.get_pixel(x, y + k)[0];
|
||||
if p > neighbor && (p - neighbor) > contrast_threshold {
|
||||
down_bound = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
if up_bound && down_bound { is_stroke = true; }
|
||||
}
|
||||
|
||||
if is_stroke {
|
||||
let gx = x / cell_size;
|
||||
let gy = y / cell_size;
|
||||
grid[(gy * grid_w + gx) as usize] = true;
|
||||
@@ -487,7 +587,6 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
}
|
||||
}
|
||||
|
||||
// Connected Components on Grid (Simple merging)
|
||||
let mut rects = Vec::new();
|
||||
let mut visited = vec![false; grid.len()];
|
||||
|
||||
@@ -495,10 +594,6 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
for gx in 0..grid_w {
|
||||
let idx = (gy * grid_w + gx) as usize;
|
||||
if grid[idx] && !visited[idx] {
|
||||
// Start a new component
|
||||
// Simple Flood Fill or just greedy expansion
|
||||
// Let's do a simple greedy expansion for rectangles
|
||||
|
||||
let mut min_gx = gx;
|
||||
let mut max_gx = gx;
|
||||
let mut min_gy = gy;
|
||||
@@ -513,7 +608,6 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
if cy < min_gy { min_gy = cy; }
|
||||
if cy > max_gy { max_gy = cy; }
|
||||
|
||||
// Neighbors
|
||||
let neighbors = [
|
||||
(cx.wrapping_sub(1), cy), (cx + 1, cy),
|
||||
(cx, cy.wrapping_sub(1)), (cx, cy + 1)
|
||||
@@ -530,8 +624,6 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
}
|
||||
}
|
||||
|
||||
// Convert grid rect to normalized image rect
|
||||
// Add padding (1 cell)
|
||||
let px = (min_gx * cell_size) as f64;
|
||||
let py = (min_gy * cell_size) as f64;
|
||||
let pw = ((max_gx - min_gx + 1) * cell_size) as f64;
|
||||
@@ -550,11 +642,129 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
|
||||
Ok(DetectionResult { rects })
|
||||
}
|
||||
|
||||
#[derive(serde::Deserialize)]
|
||||
struct StrokePoint {
|
||||
x: f64,
|
||||
y: f64,
|
||||
}
|
||||
|
||||
#[derive(serde::Deserialize)]
|
||||
struct StrokeRect {
|
||||
x: f64,
|
||||
y: f64,
|
||||
w: f64,
|
||||
h: f64,
|
||||
}
|
||||
|
||||
#[derive(serde::Deserialize)]
|
||||
#[serde(tag = "type")]
|
||||
enum MaskStroke {
|
||||
#[serde(rename = "path")]
|
||||
Path {
|
||||
points: Vec<StrokePoint>,
|
||||
width: f64,
|
||||
},
|
||||
#[serde(rename = "rect")]
|
||||
Rect {
|
||||
rect: StrokeRect,
|
||||
},
|
||||
}
|
||||
|
||||
#[tauri::command]
|
||||
async fn run_inpainting(app: AppHandle, path: String, strokes: Vec<MaskStroke>) -> Result<String, String> {
|
||||
let img = load_image_safe(Path::new(&path))?.to_rgba8();
|
||||
let (width, height) = img.dimensions();
|
||||
|
||||
// 1. Create Gray Mask (0 = keep, 255 = remove)
|
||||
let mut mask = image::GrayImage::new(width, height);
|
||||
|
||||
for stroke in strokes {
|
||||
match stroke {
|
||||
MaskStroke::Rect { rect } => {
|
||||
let x1 = (rect.x * width as f64) as i32;
|
||||
let y1 = (rect.y * height as f64) as i32;
|
||||
let w = (rect.w * width as f64) as i32;
|
||||
let h = (rect.h * height as f64) as i32;
|
||||
|
||||
// Draw 255 on mask
|
||||
for y in y1..(y1 + h) {
|
||||
for x in x1..(x1 + w) {
|
||||
if x >= 0 && x < width as i32 && y >= 0 && y < height as i32 {
|
||||
mask.put_pixel(x as u32, y as u32, image::Luma([255]));
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
MaskStroke::Path { points, width: stroke_w_pct } => {
|
||||
if points.is_empty() { continue; }
|
||||
let r = (stroke_w_pct * width as f64 / 2.0).ceil() as i32;
|
||||
let r2 = r * r;
|
||||
|
||||
for i in 0..points.len() - 1 {
|
||||
let p1 = &points[i];
|
||||
let p2 = &points[i+1];
|
||||
|
||||
let x1 = p1.x * width as f64;
|
||||
let y1 = p1.y * height as f64;
|
||||
let x2 = p2.x * width as f64;
|
||||
let y2 = p2.y * height as f64;
|
||||
|
||||
// Simple line interpolation
|
||||
let dist = ((x2-x1).powi(2) + (y2-y1).powi(2)).sqrt();
|
||||
let steps = dist.max(1.0) as i32;
|
||||
|
||||
for s in 0..=steps {
|
||||
let t = s as f64 / steps as f64;
|
||||
let cx = (x1 + (x2 - x1) * t) as i32;
|
||||
let cy = (y1 + (y2 - y1) * t) as i32;
|
||||
|
||||
// Draw circle at cx, cy
|
||||
for dy in -r..=r {
|
||||
for dx in -r..=r {
|
||||
if dx*dx + dy*dy <= r2 {
|
||||
let nx = cx + dx;
|
||||
let ny = cy + dy;
|
||||
if nx >= 0 && nx < width as i32 && ny >= 0 && ny < height as i32 {
|
||||
mask.put_pixel(nx as u32, ny as u32, image::Luma([255]));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 2. Resolve Model Path
|
||||
let model_path = app.path().resource_dir()
|
||||
.map_err(|e| e.to_string())?
|
||||
.join("resources")
|
||||
.join("lama_fp32.onnx");
|
||||
|
||||
if !model_path.exists() {
|
||||
return Err("Model file 'lama_fp32.onnx' not found in resources.".to_string());
|
||||
}
|
||||
|
||||
// 3. Run Inference
|
||||
// This is computationally heavy, maybe run in thread? Tauri async commands are already threaded.
|
||||
let result_img = lama::run_lama_inpainting(&model_path, &img, &mask)?;
|
||||
|
||||
// Save to temp
|
||||
let cache_dir = get_cache_dir();
|
||||
let file_name = format!("inpainted_{}.png", std::time::SystemTime::now().duration_since(std::time::UNIX_EPOCH).unwrap().as_millis());
|
||||
let out_path = cache_dir.join(file_name);
|
||||
|
||||
result_img.save(&out_path).map_err(|e| e.to_string())?;
|
||||
|
||||
Ok(out_path.to_string_lossy().to_string())
|
||||
}
|
||||
|
||||
#[cfg_attr(mobile, tauri::mobile_entry_point)]
|
||||
pub fn run() {
|
||||
tauri::Builder::default()
|
||||
.plugin(tauri_plugin_dialog::init())
|
||||
.invoke_handler(tauri::generate_handler![scan_dir, get_zca_suggestion, export_batch, detect_watermark, layout_watermark])
|
||||
.invoke_handler(tauri::generate_handler![scan_dir, get_zca_suggestion, export_batch, detect_watermark, layout_watermark, run_inpainting])
|
||||
.run(tauri::generate_context!())
|
||||
.expect("error while running tauri application");
|
||||
}
|
||||
|
||||
202
src-tauri/src/ocr.rs
Normal file
@@ -0,0 +1,202 @@
|
||||
use crate::ort_ops;
|
||||
use image::{GenericImageView, Rgba, RgbaImage};
|
||||
use ort::value::Value;
|
||||
use std::path::Path;
|
||||
|
||||
#[derive(Clone, Debug)]
|
||||
pub struct DetectedBox {
|
||||
pub x: f64,
|
||||
pub y: f64,
|
||||
pub width: f64,
|
||||
pub height: f64,
|
||||
}
|
||||
|
||||
pub fn run_ocr_detection(
|
||||
model_path: &Path,
|
||||
input_image: &RgbaImage,
|
||||
) -> Result<Vec<DetectedBox>, String> {
|
||||
// 1. Load Model using the shared function
|
||||
let mut session = ort_ops::create_session(model_path)
|
||||
.map_err(|e| format!("Failed to create ORT session: {}", e))?;
|
||||
|
||||
// 2. Preprocess
|
||||
// DBNet expects standard normalization: (img - mean) / std
|
||||
// Mean: [0.485, 0.456, 0.406], Std: [0.229, 0.224, 0.225]
|
||||
// And usually resized to multiple of 32. Limit max size for speed.
|
||||
let max_side = 1600; // Increase resolution limit
|
||||
let (orig_w, orig_h) = input_image.dimensions();
|
||||
|
||||
// --- CROP to top 5% and bottom 5% ---
|
||||
let crop_height = (orig_h as f64 * 0.05).ceil() as u32;
|
||||
let mut masked_image = RgbaImage::from_pixel(orig_w, orig_h, Rgba([0, 0, 0, 255]));
|
||||
|
||||
if crop_height > 0 {
|
||||
// Copy top part
|
||||
let top_view = input_image.view(0, 0, orig_w, crop_height).to_image();
|
||||
image::imageops::replace(&mut masked_image, &top_view, 0, 0);
|
||||
|
||||
// Copy bottom part
|
||||
let bottom_y = orig_h.saturating_sub(crop_height);
|
||||
let bottom_view = input_image.view(0, bottom_y, orig_w, crop_height).to_image();
|
||||
image::imageops::replace(&mut masked_image, &bottom_view, 0, bottom_y as i64);
|
||||
} else {
|
||||
// If image is very short, just use the original
|
||||
masked_image = input_image.clone();
|
||||
}
|
||||
// --- End CROP ---
|
||||
|
||||
let mut resize_w = orig_w;
|
||||
let mut resize_h = orig_h;
|
||||
|
||||
// Resize logic: Limit max side, preserve aspect, ensure divisible by 32
|
||||
if resize_w > max_side || resize_h > max_side {
|
||||
let ratio = max_side as f64 / (orig_w.max(orig_h) as f64);
|
||||
resize_w = (orig_w as f64 * ratio) as u32;
|
||||
resize_h = (orig_h as f64 * ratio) as u32;
|
||||
}
|
||||
|
||||
// Align to 32
|
||||
resize_w = (resize_w + 31) / 32 * 32;
|
||||
resize_h = (resize_h + 31) / 32 * 32;
|
||||
|
||||
// Minimum size
|
||||
resize_w = resize_w.max(32);
|
||||
resize_h = resize_h.max(32);
|
||||
|
||||
let resized = image::imageops::resize(&masked_image, resize_w, resize_h, image::imageops::FilterType::Triangle);
|
||||
|
||||
let channel_stride = (resize_w * resize_h) as usize;
|
||||
let mut input_data = Vec::with_capacity(1 * 3 * channel_stride);
|
||||
let mut r_plane = Vec::with_capacity(channel_stride);
|
||||
let mut g_plane = Vec::with_capacity(channel_stride);
|
||||
let mut b_plane = Vec::with_capacity(channel_stride);
|
||||
|
||||
let mean = [0.485, 0.456, 0.406];
|
||||
let std = [0.229, 0.224, 0.225];
|
||||
|
||||
for (_x, _y, pixel) in resized.enumerate_pixels() {
|
||||
let r = pixel[0] as f32 / 255.0;
|
||||
let g = pixel[1] as f32 / 255.0;
|
||||
let b = pixel[2] as f32 / 255.0;
|
||||
|
||||
r_plane.push((r - mean[0]) / std[0]);
|
||||
g_plane.push((g - mean[1]) / std[1]);
|
||||
b_plane.push((b - mean[2]) / std[2]);
|
||||
}
|
||||
input_data.extend(r_plane);
|
||||
input_data.extend(g_plane);
|
||||
input_data.extend(b_plane);
|
||||
|
||||
// 3. Inference
|
||||
let input_shape = vec![1, 3, resize_h as i64, resize_w as i64];
|
||||
let input_value = Value::from_array((input_shape, input_data))
|
||||
.map_err(|e| format!("Failed to create input tensor: {}", e))?;
|
||||
|
||||
let inputs = ort::inputs![input_value]; // For PP-OCR, usually just one input "x"
|
||||
let outputs = session.run(inputs).map_err(|e| format!("Inference failed: {}", e))?;
|
||||
|
||||
let output_tensor = outputs.values().next().ok_or("No output")?;
|
||||
let (shape, data) = output_tensor.try_extract_tensor::<f32>()
|
||||
.map_err(|e| format!("Failed to extract output: {}", e))?;
|
||||
|
||||
// 4. Post-process
|
||||
// Output shape is [1, 1, H, W] probability map
|
||||
if shape.len() < 4 {
|
||||
return Err("Unexpected output shape".to_string());
|
||||
}
|
||||
|
||||
let map_w = shape[3] as u32;
|
||||
let map_h = shape[2] as u32;
|
||||
|
||||
// Create binary map (threshold 0.3)
|
||||
let threshold = 0.3;
|
||||
let mut binary_map = vec![false; (map_w * map_h) as usize];
|
||||
|
||||
for i in 0..binary_map.len() {
|
||||
if data[i] > threshold {
|
||||
binary_map[i] = true;
|
||||
}
|
||||
}
|
||||
|
||||
// Find Connected Components (Simple Bounding Box finding)
|
||||
let mut visited = vec![false; binary_map.len()];
|
||||
let mut boxes = Vec::new();
|
||||
|
||||
for y in 0..map_h {
|
||||
for x in 0..map_w {
|
||||
let idx = (y * map_w + x) as usize;
|
||||
if binary_map[idx] && !visited[idx] {
|
||||
// Flood fill
|
||||
let mut stack = vec![(x as u32, y as u32)];
|
||||
visited[idx] = true;
|
||||
|
||||
let mut min_x = x;
|
||||
let mut max_x = x;
|
||||
let mut min_y = y;
|
||||
let mut max_y = y;
|
||||
let mut pixel_count = 0;
|
||||
|
||||
while let Some((cx, cy)) = stack.pop() {
|
||||
pixel_count += 1;
|
||||
if cx < min_x { min_x = cx; }
|
||||
if cx > max_x { max_x = cx; }
|
||||
if cy < min_y { min_y = cy; }
|
||||
if cy > max_y { max_y = cy; }
|
||||
|
||||
let neighbors = [
|
||||
(cx.wrapping_sub(1), cy), (cx + 1, cy),
|
||||
(cx, cy.wrapping_sub(1)), (cx, cy + 1)
|
||||
];
|
||||
|
||||
for (nx, ny) in neighbors {
|
||||
if nx < map_w && ny < map_h {
|
||||
let nidx = (ny * map_w + nx) as usize;
|
||||
if binary_map[nidx] && !visited[nidx] {
|
||||
visited[nidx] = true;
|
||||
stack.push((nx, ny));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Filter small noise
|
||||
if pixel_count < 10 { continue; }
|
||||
|
||||
// Calculate Scale Factors
|
||||
let scale_x = orig_w as f64 / resize_w as f64;
|
||||
let scale_y = orig_h as f64 / resize_h as f64;
|
||||
|
||||
// Map to raw coordinates in map space
|
||||
let raw_w = (max_x - min_x + 1) as f64;
|
||||
let raw_h = (max_y - min_y + 1) as f64;
|
||||
|
||||
// --- ASPECT RATIO FILTERING ---
|
||||
// Watermarks are typically horizontal text lines.
|
||||
// A cross or vertical pillar will have a small width/height ratio.
|
||||
let aspect_ratio = raw_w / raw_h;
|
||||
if aspect_ratio < 1.5 {
|
||||
continue; // Skip vertical or square-ish non-text objects
|
||||
}
|
||||
|
||||
// --- PADDING / DILATION ---
|
||||
let pad_x = raw_w * 0.15; // 15% horizontal is usually enough
|
||||
let pad_y = raw_h * 1.00; // Increased to 100% for aggressive vertical coverage
|
||||
|
||||
let box_x = (min_x as f64 - pad_x).max(0.0);
|
||||
let box_y = (min_y as f64 - pad_y).max(0.0);
|
||||
let box_w = raw_w + 2.0 * pad_x;
|
||||
let box_h = raw_h + 2.0 * pad_y;
|
||||
|
||||
// Convert to Normalized Image Coordinates [0, 1]
|
||||
boxes.push(DetectedBox {
|
||||
x: (box_x * scale_x) / orig_w as f64,
|
||||
y: (box_y * scale_y) / orig_h as f64,
|
||||
width: (box_w * scale_x) / orig_w as f64,
|
||||
height: (box_h * scale_y) / orig_h as f64,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(boxes)
|
||||
}
|
||||
41
src-tauri/src/ort_ops.rs
Normal file
@@ -0,0 +1,41 @@
|
||||
use ort::session::{Session, builder::GraphOptimizationLevel};
|
||||
use ort::execution_providers::DirectMLExecutionProvider;
|
||||
use std::path::Path;
|
||||
|
||||
/// Attempts to create an ORT session with GPU (DirectML) acceleration.
|
||||
/// If GPU initialization fails, it falls back to a CPU-only session.
|
||||
pub fn create_session(model_path: &Path) -> Result<Session, ort::Error> {
|
||||
|
||||
// Try to build with DirectML
|
||||
let dm_provider = DirectMLExecutionProvider::default().build();
|
||||
let session_builder = Session::builder()?
|
||||
.with_optimization_level(GraphOptimizationLevel::Level3)?
|
||||
.with_intra_threads(4)?;
|
||||
|
||||
match session_builder.with_execution_providers([dm_provider]) {
|
||||
Ok(builder_with_dm) => {
|
||||
println!("Attempting to commit session with DirectML provider...");
|
||||
match builder_with_dm.commit_from_file(model_path) {
|
||||
Ok(session) => {
|
||||
println!("Successfully created ORT session with DirectML GPU acceleration.");
|
||||
return Ok(session);
|
||||
},
|
||||
Err(e) => {
|
||||
println!("Failed to create session with DirectML: {:?}. Falling back to CPU.", e);
|
||||
// Fall through to CPU execution
|
||||
}
|
||||
}
|
||||
},
|
||||
Err(e) => {
|
||||
println!("Failed to build session with DirectML provider: {:?}. Falling back to CPU.", e);
|
||||
// Fall through to CPU execution
|
||||
}
|
||||
};
|
||||
|
||||
// Fallback to CPU
|
||||
println!("Creating ORT session with CPU provider.");
|
||||
Session::builder()?
|
||||
.with_optimization_level(GraphOptimizationLevel::Level3)?
|
||||
.with_intra_threads(4)?
|
||||
.commit_from_file(model_path)
|
||||
}
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://schema.tauri.app/config/2",
|
||||
"productName": "watermark-wizard",
|
||||
"version": "0.1.0",
|
||||
"version": "1.0.1",
|
||||
"identifier": "top.volan.watermark-wizard",
|
||||
"build": {
|
||||
"beforeDevCommand": "pnpm dev",
|
||||
@@ -12,13 +12,13 @@
|
||||
"app": {
|
||||
"windows": [
|
||||
{
|
||||
"title": "watermark-wizard",
|
||||
"title": "水印精灵 v1.0.1",
|
||||
"width": 1650,
|
||||
"height": 1000
|
||||
}
|
||||
],
|
||||
"security": {
|
||||
"csp": "default-src 'self'; img-src 'self' asset: https://asset.localhost",
|
||||
"csp": "default-src 'self'; img-src 'self' asset: http://asset.localhost https://asset.localhost blob: data:",
|
||||
"assetProtocol": {
|
||||
"enable": true,
|
||||
"scope": ["**"]
|
||||
@@ -28,6 +28,7 @@
|
||||
"bundle": {
|
||||
"active": true,
|
||||
"targets": "all",
|
||||
"resources": ["resources/lama_fp32.onnx", "resources/en_PP-OCRv3_det_infer.onnx"],
|
||||
"icon": [
|
||||
"icons/32x32.png",
|
||||
"icons/128x128.png",
|
||||
|
||||
60
src/App.vue
@@ -6,11 +6,27 @@ import { useGalleryStore } from "./stores/gallery";
|
||||
import { open } from '@tauri-apps/plugin-dialog';
|
||||
import { invoke } from '@tauri-apps/api/core';
|
||||
import { FolderOpen, Download } from 'lucide-vue-next';
|
||||
import { ref } from "vue";
|
||||
import { ref, onMounted, onUnmounted } from "vue";
|
||||
|
||||
const store = useGalleryStore();
|
||||
const isExporting = ref(false);
|
||||
|
||||
function handleKeydown(event: KeyboardEvent) {
|
||||
if (event.key === 'ArrowRight') {
|
||||
store.nextImage();
|
||||
} else if (event.key === 'ArrowLeft') {
|
||||
store.prevImage();
|
||||
}
|
||||
}
|
||||
|
||||
onMounted(() => {
|
||||
window.addEventListener('keydown', handleKeydown);
|
||||
});
|
||||
|
||||
onUnmounted(() => {
|
||||
window.removeEventListener('keydown', handleKeydown);
|
||||
});
|
||||
|
||||
async function openFolder() {
|
||||
try {
|
||||
const selected = await open({
|
||||
@@ -32,8 +48,10 @@ async function openFolder() {
|
||||
|
||||
async function exportBatch() {
|
||||
if (store.images.length === 0) return;
|
||||
if (!store.watermarkSettings.text) {
|
||||
alert("Please enter watermark text.");
|
||||
|
||||
// Only require text if in ADD mode
|
||||
if (store.editMode === 'add' && !store.watermarkSettings.text) {
|
||||
alert("请输入水印文字。");
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -41,20 +59,27 @@ async function exportBatch() {
|
||||
const outputDir = await open({
|
||||
directory: true,
|
||||
multiple: false,
|
||||
title: "Select Output Directory"
|
||||
title: "选择输出目录"
|
||||
});
|
||||
|
||||
if (outputDir && typeof outputDir === 'string') {
|
||||
isExporting.value = true;
|
||||
|
||||
// Map images to include manual settings
|
||||
const exportTasks = store.images.map(img => ({
|
||||
path: img.path,
|
||||
manual_position: img.manualPosition || null,
|
||||
scale: img.scale || null,
|
||||
opacity: img.opacity || null,
|
||||
color: img.color || null
|
||||
}));
|
||||
const exportTasks = store.images.map(img => {
|
||||
// Extract filename from originalPath to ensure export uses original name
|
||||
// Handles both Windows (\) and Unix (/) separators
|
||||
const originalName = img.originalPath.split(/[/\\]/).pop() || "image.png";
|
||||
|
||||
return {
|
||||
path: img.path,
|
||||
output_filename: originalName,
|
||||
manual_position: img.manualPosition || null,
|
||||
scale: img.scale || null,
|
||||
opacity: img.opacity || null,
|
||||
color: img.color || null
|
||||
};
|
||||
});
|
||||
|
||||
// Pass dummy globals for rust struct compatibility
|
||||
// The backend struct fields are named _manual_override and _manual_position
|
||||
@@ -67,13 +92,14 @@ async function exportBatch() {
|
||||
await invoke('export_batch', {
|
||||
images: exportTasks,
|
||||
watermark: rustWatermarkSettings,
|
||||
outputDir: outputDir
|
||||
outputDir: outputDir,
|
||||
mode: store.editMode
|
||||
});
|
||||
alert("Batch export completed!");
|
||||
alert("批量导出完成!");
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("Export failed:", e);
|
||||
alert("Export failed: " + e);
|
||||
alert("导出失败: " + e);
|
||||
} finally {
|
||||
isExporting.value = false;
|
||||
}
|
||||
@@ -84,7 +110,7 @@ async function exportBatch() {
|
||||
<div class="h-screen w-screen bg-gray-900 text-white overflow-hidden flex flex-col">
|
||||
<header class="h-14 bg-gray-800 flex items-center justify-between px-6 border-b border-gray-700 shrink-0 shadow-md z-10">
|
||||
<div class="flex items-center gap-4">
|
||||
<h1 class="text-lg font-bold tracking-wider bg-gradient-to-r from-blue-400 to-purple-500 bg-clip-text text-transparent">WATERMARK WIZARD</h1>
|
||||
<h1 class="text-lg font-bold tracking-wider bg-linear-to-r from-blue-400 to-purple-500 bg-clip-text text-transparent">水印精灵</h1>
|
||||
</div>
|
||||
|
||||
<div class="flex items-center gap-3">
|
||||
@@ -93,7 +119,7 @@ async function exportBatch() {
|
||||
class="flex items-center gap-2 bg-gray-700 hover:bg-gray-600 text-gray-200 px-4 py-2 rounded-md text-sm font-medium transition-all hover:shadow-lg"
|
||||
>
|
||||
<FolderOpen class="w-4 h-4" />
|
||||
Open Folder
|
||||
打开文件夹
|
||||
</button>
|
||||
|
||||
<button
|
||||
@@ -103,7 +129,7 @@ async function exportBatch() {
|
||||
>
|
||||
<Download class="w-4 h-4" v-if="!isExporting" />
|
||||
<div v-else class="w-4 h-4 border-2 border-white/30 border-t-white rounded-full animate-spin"></div>
|
||||
{{ isExporting ? 'Exporting...' : 'Export Batch' }}
|
||||
{{ isExporting ? '导出中...' : '批量导出' }}
|
||||
</button>
|
||||
</div>
|
||||
</header>
|
||||
|
||||
@@ -302,7 +302,7 @@ const stopDrawing = () => {
|
||||
></canvas>
|
||||
</div>
|
||||
<div v-else class="text-gray-500 flex flex-col items-center">
|
||||
<p>No image selected</p>
|
||||
<p>未选择图片</p>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
<script setup lang="ts">
|
||||
import { useGalleryStore } from "../stores/gallery";
|
||||
import { Settings, CheckSquare, Type, Palette, Copy, Eraser, PlusSquare, Brush, Sparkles, Trash2, RotateCw } from 'lucide-vue-next';
|
||||
import { Settings, CheckSquare, Type, Palette, Copy, Eraser, PlusSquare, Brush, Sparkles, Trash2, RotateCw, RotateCcw } from 'lucide-vue-next';
|
||||
import { computed } from "vue";
|
||||
|
||||
const store = useGalleryStore();
|
||||
@@ -40,7 +40,7 @@ const currentColor = computed({
|
||||
});
|
||||
|
||||
const applyAll = () => {
|
||||
if (confirm("Apply current settings (Size, Opacity, Color) to ALL images?")) {
|
||||
if (confirm("是否将当前设置(大小、透明度、颜色)应用到所有图片?")) {
|
||||
store.applySettingsToAll();
|
||||
}
|
||||
};
|
||||
@@ -56,14 +56,14 @@ const applyAll = () => {
|
||||
class="flex-1 py-3 text-sm font-medium flex items-center justify-center gap-2 transition-colors"
|
||||
:class="store.editMode === 'add' ? 'bg-gray-700 text-blue-400 border-b-2 border-blue-400' : 'text-gray-400 hover:bg-gray-750'"
|
||||
>
|
||||
<PlusSquare class="w-4 h-4" /> Add
|
||||
<PlusSquare class="w-4 h-4" /> 添加
|
||||
</button>
|
||||
<button
|
||||
@click="store.editMode = 'remove'"
|
||||
class="flex-1 py-3 text-sm font-medium flex items-center justify-center gap-2 transition-colors"
|
||||
:class="store.editMode === 'remove' ? 'bg-gray-700 text-red-400 border-b-2 border-red-400' : 'text-gray-400 hover:bg-gray-750'"
|
||||
>
|
||||
<Eraser class="w-4 h-4" /> Remove
|
||||
<Eraser class="w-4 h-4" /> 移除
|
||||
</button>
|
||||
</div>
|
||||
|
||||
@@ -75,20 +75,20 @@ const applyAll = () => {
|
||||
<h2 class="text-lg font-bold flex items-center justify-between">
|
||||
<div class="flex items-center gap-2">
|
||||
<Settings class="w-5 h-5" />
|
||||
Watermark
|
||||
水印设置
|
||||
</div>
|
||||
<button
|
||||
@click="applyAll"
|
||||
title="Apply Settings to All Images"
|
||||
title="应用设置到所有图片"
|
||||
class="bg-gray-700 hover:bg-gray-600 p-1.5 rounded text-xs text-blue-300 transition-colors flex items-center gap-1"
|
||||
>
|
||||
<Copy class="w-3 h-3" /> All
|
||||
<Copy class="w-3 h-3" /> 全部
|
||||
</button>
|
||||
</h2>
|
||||
|
||||
<!-- Text Input -->
|
||||
<div class="flex flex-col gap-2">
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">Content</label>
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">水印内容</label>
|
||||
<div class="flex gap-2">
|
||||
<div class="relative flex-1">
|
||||
<Type class="absolute left-3 top-2.5 w-4 h-4 text-gray-500" />
|
||||
@@ -96,13 +96,13 @@ const applyAll = () => {
|
||||
type="text"
|
||||
v-model="store.watermarkSettings.text"
|
||||
class="w-full bg-gray-700 text-white pl-10 pr-3 py-2 rounded border border-gray-600 focus:border-blue-500 focus:outline-none"
|
||||
placeholder="Enter text..."
|
||||
placeholder="输入水印文字..."
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
@click="store.recalcAllWatermarks()"
|
||||
class="bg-blue-600 hover:bg-blue-500 text-white p-2 rounded flex items-center justify-center transition-colors"
|
||||
title="Apply & Recalculate Layout for ALL Images"
|
||||
title="应用并重新计算所有图片布局"
|
||||
>
|
||||
<RotateCw class="w-4 h-4" />
|
||||
</button>
|
||||
@@ -111,7 +111,7 @@ const applyAll = () => {
|
||||
|
||||
<!-- Color Picker -->
|
||||
<div class="flex flex-col gap-2">
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">Color</label>
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">字体颜色</label>
|
||||
<div class="flex items-center gap-2 bg-gray-700 p-2 rounded border border-gray-600">
|
||||
<Palette class="w-4 h-4 text-gray-400" />
|
||||
<input
|
||||
@@ -127,7 +127,7 @@ const applyAll = () => {
|
||||
<div class="space-y-4">
|
||||
<div>
|
||||
<div class="flex justify-between mb-1">
|
||||
<label class="text-xs text-gray-400">Size (Scale)</label>
|
||||
<label class="text-xs text-gray-400">字体大小 (比例)</label>
|
||||
<span class="text-xs text-gray-300">{{ (currentScale * 100).toFixed(1) }}%</span>
|
||||
</div>
|
||||
<input
|
||||
@@ -138,12 +138,12 @@ const applyAll = () => {
|
||||
v-model.number="currentScale"
|
||||
class="w-full h-1 bg-gray-600 rounded-lg appearance-none cursor-pointer accent-blue-500"
|
||||
/>
|
||||
<p class="text-[10px] text-gray-500 mt-1">Relative to image height</p>
|
||||
<p class="text-[10px] text-gray-500 mt-1">基于图片高度的比例</p>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class="flex justify-between mb-1">
|
||||
<label class="text-xs text-gray-400">Opacity</label>
|
||||
<label class="text-xs text-gray-400">不透明度</label>
|
||||
<span class="text-xs text-gray-300">{{ (currentOpacity * 100).toFixed(0) }}%</span>
|
||||
</div>
|
||||
<input
|
||||
@@ -159,15 +159,15 @@ const applyAll = () => {
|
||||
|
||||
<!-- Placement Info -->
|
||||
<div class="flex flex-col gap-2">
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">Placement Status</label>
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">位置状态</label>
|
||||
<div class="flex items-center gap-2 p-2 rounded bg-gray-700/50 border border-gray-600">
|
||||
<div class="p-1 rounded bg-green-500/20 text-green-400">
|
||||
<CheckSquare class="w-4 h-4" v-if="!store.selectedImage?.manualPosition" />
|
||||
<div class="w-4 h-4" v-else></div>
|
||||
</div>
|
||||
<div class="flex-1">
|
||||
<p class="text-sm font-medium text-gray-200" v-if="!store.selectedImage?.manualPosition">Auto (ZCA)</p>
|
||||
<p class="text-sm font-medium text-blue-300" v-else>Manual Override</p>
|
||||
<p class="text-sm font-medium text-gray-200" v-if="!store.selectedImage?.manualPosition">自动 (ZCA)</p>
|
||||
<p class="text-sm font-medium text-blue-300" v-else>手动调整</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -177,33 +177,47 @@ const applyAll = () => {
|
||||
<div v-else class="flex flex-col gap-6">
|
||||
<h2 class="text-lg font-bold flex items-center gap-2 text-red-400">
|
||||
<Brush class="w-5 h-5" />
|
||||
Magic Eraser
|
||||
魔法橡皮擦
|
||||
</h2>
|
||||
|
||||
<!-- Auto Detect Controls -->
|
||||
<div class="flex gap-2">
|
||||
<button
|
||||
@click="store.selectedIndex >= 0 && store.detectWatermark(store.selectedIndex)"
|
||||
class="flex-1 bg-blue-600 hover:bg-blue-500 text-white py-2 rounded flex items-center justify-center gap-2 text-sm transition-colors"
|
||||
:disabled="store.selectedIndex < 0"
|
||||
>
|
||||
<Sparkles class="w-4 h-4" /> Auto Detect
|
||||
</button>
|
||||
<button
|
||||
@click="store.selectedIndex >= 0 && store.clearMask(store.selectedIndex)"
|
||||
class="bg-gray-700 hover:bg-gray-600 text-gray-300 px-3 rounded flex items-center justify-center transition-colors"
|
||||
title="Clear Mask"
|
||||
:disabled="store.selectedIndex < 0"
|
||||
>
|
||||
<Trash2 class="w-4 h-4" />
|
||||
</button>
|
||||
<div class="flex flex-col gap-2">
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">自动检测水印</label>
|
||||
<div class="flex gap-2">
|
||||
<button
|
||||
@click="store.detectCurrentWatermark()"
|
||||
class="flex-1 bg-gray-700 hover:bg-gray-600 text-white py-2 rounded flex items-center justify-center gap-2 text-sm transition-colors"
|
||||
:disabled="store.isDetecting || store.selectedIndex < 0"
|
||||
>
|
||||
<div v-if="store.isDetecting" class="w-3 h-3 border-2 border-white/30 border-t-white rounded-full animate-spin"></div>
|
||||
<Sparkles v-else class="w-4 h-4" />
|
||||
当前
|
||||
</button>
|
||||
<button
|
||||
@click="store.detectAllWatermarks()"
|
||||
class="flex-1 bg-gray-700 hover:bg-gray-600 text-white py-2 rounded flex items-center justify-center gap-2 text-sm transition-colors"
|
||||
:disabled="store.isDetecting || store.images.length === 0"
|
||||
>
|
||||
<div v-if="store.isDetecting" class="w-3 h-3 border-2 border-white/30 border-t-white rounded-full animate-spin"></div>
|
||||
<Sparkles v-else class="w-4 h-4" />
|
||||
全部
|
||||
</button>
|
||||
<button
|
||||
@click="store.selectedIndex >= 0 && store.clearMask(store.selectedIndex)"
|
||||
class="bg-gray-700 hover:bg-gray-600 text-gray-300 px-3 rounded flex items-center justify-center transition-colors"
|
||||
title="清空当前遮罩"
|
||||
:disabled="store.selectedIndex < 0"
|
||||
>
|
||||
<Trash2 class="w-4 h-4" />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<p class="text-xs text-gray-400">Paint over the watermark you want to remove. The AI will fill in the background.</p>
|
||||
<p class="text-xs text-gray-400">涂抹想要移除的水印,AI 将自动填充背景。</p>
|
||||
|
||||
<div>
|
||||
<div class="flex justify-between mb-1">
|
||||
<label class="text-xs text-gray-400">Brush Size</label>
|
||||
<label class="text-xs text-gray-400">画笔大小</label>
|
||||
<span class="text-xs text-gray-300">{{ store.brushSettings.size }}px</span>
|
||||
</div>
|
||||
<input
|
||||
@@ -216,9 +230,50 @@ const applyAll = () => {
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div class="p-3 bg-red-900/20 border border-red-900/50 rounded text-xs text-red-200">
|
||||
AI Inpainting is not yet connected. Masking preview only.
|
||||
<div class="p-3 bg-red-900/20 border border-red-900/50 rounded text-xs text-red-200 flex flex-col gap-1">
|
||||
<span>AI 修复功能已就绪。</span>
|
||||
<span v-if="store.isProcessing" class="text-yellow-300 animate-pulse">
|
||||
正在处理: {{ store.progress.current }} / {{ store.progress.total }}
|
||||
</span>
|
||||
<span v-if="store.isDetecting" class="text-blue-300 animate-pulse">
|
||||
正在检测: {{ store.progress.current }} / {{ store.progress.total }}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<!-- Execution Controls -->
|
||||
<div class="flex flex-col gap-2">
|
||||
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">执行移除</label>
|
||||
<div class="flex gap-2">
|
||||
<button
|
||||
@click="store.processInpainting(store.selectedIndex)"
|
||||
class="flex-1 bg-red-600 hover:bg-red-500 text-white py-2 rounded flex items-center justify-center gap-2 text-sm transition-colors shadow-lg"
|
||||
:disabled="store.isProcessing || store.selectedIndex < 0"
|
||||
>
|
||||
<div v-if="store.isProcessing" class="w-3 h-3 border-2 border-white/30 border-t-white rounded-full animate-spin"></div>
|
||||
<Eraser v-else class="w-4 h-4" />
|
||||
当前
|
||||
</button>
|
||||
|
||||
<button
|
||||
@click="store.processAllInpainting()"
|
||||
class="flex-1 bg-red-800 hover:bg-red-700 text-white py-2 rounded flex items-center justify-center gap-2 text-sm transition-colors shadow"
|
||||
:disabled="store.isProcessing || store.images.length === 0"
|
||||
>
|
||||
<div v-if="store.isProcessing" class="w-3 h-3 border-2 border-white/30 border-t-white rounded-full animate-spin"></div>
|
||||
<Eraser v-else class="w-4 h-4" />
|
||||
全部
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<button
|
||||
v-if="store.selectedImage && store.selectedImage.path !== store.selectedImage.originalPath"
|
||||
@click="store.selectedIndex >= 0 && store.restoreImage(store.selectedIndex)"
|
||||
class="w-full bg-gray-700 hover:bg-gray-600 text-gray-300 py-2 rounded text-sm transition-colors flex items-center justify-center gap-2"
|
||||
>
|
||||
<RotateCcw class="w-4 h-4" />
|
||||
还原原图
|
||||
</button>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
@@ -23,7 +23,7 @@ const onSelect = (index: number) => {
|
||||
>
|
||||
<template #default="{ item, index }">
|
||||
<div
|
||||
class="h-full w-[100px] p-2 cursor-pointer transition-colors"
|
||||
class="h-full w-25 p-2 cursor-pointer transition-colors"
|
||||
:class="{'bg-blue-600': store.selectedIndex === index, 'hover:bg-gray-700': store.selectedIndex !== index}"
|
||||
@click="onSelect(index)"
|
||||
>
|
||||
|
||||
@@ -11,6 +11,7 @@ export interface MaskStroke {
|
||||
|
||||
export interface ImageItem {
|
||||
path: string;
|
||||
originalPath: string;
|
||||
thumbnail: string;
|
||||
name: string;
|
||||
width?: number;
|
||||
@@ -40,7 +41,7 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
|
||||
const watermarkSettings = ref<WatermarkSettings>({
|
||||
type: 'text',
|
||||
text: 'Watermark',
|
||||
text: '水印',
|
||||
color: '#FFFFFF',
|
||||
opacity: 1.0,
|
||||
scale: 0.03,
|
||||
@@ -51,6 +52,10 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
opacity: 0.5 // visual only
|
||||
});
|
||||
|
||||
const isDetecting = ref(false);
|
||||
const isProcessing = ref(false);
|
||||
const progress = ref({ current: 0, total: 0 });
|
||||
|
||||
const selectedImage = computed(() => {
|
||||
if (selectedIndex.value >= 0 && selectedIndex.value < images.value.length) {
|
||||
return images.value[selectedIndex.value];
|
||||
@@ -59,9 +64,21 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
});
|
||||
|
||||
function setImages(newImages: ImageItem[]) {
|
||||
images.value = newImages;
|
||||
images.value = newImages.map(img => ({
|
||||
...img,
|
||||
// Ensure originalPath is set if not already present from backend
|
||||
originalPath: img.originalPath || img.path
|
||||
}));
|
||||
selectedIndex.value = -1;
|
||||
}
|
||||
|
||||
function restoreImage(index: number) {
|
||||
const img = images.value[index];
|
||||
if (img) {
|
||||
img.path = img.originalPath;
|
||||
img.maskStrokes = []; // Also clear any masks if restoring
|
||||
}
|
||||
}
|
||||
|
||||
function updateWatermarkSettings(settings: Partial<WatermarkSettings>) {
|
||||
watermarkSettings.value = { ...watermarkSettings.value, ...settings };
|
||||
@@ -95,17 +112,16 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
}
|
||||
}
|
||||
|
||||
async function detectWatermark(index: number) {
|
||||
const img = images.value[index];
|
||||
if (!img) return;
|
||||
|
||||
// Helper to run detection on a single image object
|
||||
async function detectWatermarkForImage(img: ImageItem) {
|
||||
try {
|
||||
// Clear existing mask first
|
||||
img.maskStrokes = [];
|
||||
|
||||
// @ts-ignore
|
||||
const result = await invoke<{rects: {x: number, y: number, width: number, height: number}[]}>("detect_watermark", { path: img.path });
|
||||
|
||||
if (result.rects && result.rects.length > 0) {
|
||||
if (!img.maskStrokes) img.maskStrokes = [];
|
||||
|
||||
result.rects.forEach(r => {
|
||||
img.maskStrokes!.push({
|
||||
type: 'rect',
|
||||
@@ -114,7 +130,38 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
});
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("Detection failed", e);
|
||||
console.error(`Detection failed for ${img.name}`, e);
|
||||
}
|
||||
}
|
||||
|
||||
async function detectCurrentWatermark() {
|
||||
if (selectedIndex.value < 0 || !images.value[selectedIndex.value]) return;
|
||||
isDetecting.value = true;
|
||||
progress.value = { current: 0, total: 1 };
|
||||
try {
|
||||
await detectWatermarkForImage(images.value[selectedIndex.value]);
|
||||
progress.value.current = 1;
|
||||
} finally {
|
||||
isDetecting.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function detectAllWatermarks() {
|
||||
if (images.value.length === 0) return;
|
||||
isDetecting.value = true;
|
||||
progress.value = { current: 0, total: images.value.length };
|
||||
|
||||
try {
|
||||
const batchSize = 5;
|
||||
for (let i = 0; i < images.value.length; i += batchSize) {
|
||||
const batch = images.value.slice(i, i + batchSize).map(async (img) => {
|
||||
await detectWatermarkForImage(img);
|
||||
progress.value.current++;
|
||||
});
|
||||
await Promise.all(batch);
|
||||
}
|
||||
} finally {
|
||||
isDetecting.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -127,8 +174,7 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
// Process in batches to avoid overwhelming the backend
|
||||
const batchSize = 5;
|
||||
for (let i = 0; i < images.value.length; i += batchSize) {
|
||||
const batch = images.value.slice(i, i + batchSize).map(async (img, batchIdx) => {
|
||||
const globalIdx = i + batchIdx;
|
||||
const batch = images.value.slice(i, i + batchSize).map(async (img) => {
|
||||
try {
|
||||
const result = await invoke<{x: number, y: number, scale: number}>("layout_watermark", {
|
||||
path: img.path,
|
||||
@@ -136,8 +182,11 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
baseScale: baseScale
|
||||
});
|
||||
|
||||
setImageManualPosition(globalIdx, result.x, result.y);
|
||||
setImageSetting(globalIdx, 'scale', result.scale);
|
||||
const idx = images.value.indexOf(img);
|
||||
if (idx >= 0) {
|
||||
setImageManualPosition(idx, result.x, result.y);
|
||||
setImageSetting(idx, 'scale', result.scale);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`Layout failed for ${img.name}`, e);
|
||||
}
|
||||
@@ -146,6 +195,64 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
}
|
||||
}
|
||||
|
||||
// Internal helper for single image inpainting logic
|
||||
async function runInpaintingForImage(img: ImageItem) {
|
||||
if (!img.maskStrokes || img.maskStrokes.length === 0) return;
|
||||
|
||||
try {
|
||||
const newPath = await invoke<string>("run_inpainting", {
|
||||
path: img.path,
|
||||
strokes: img.maskStrokes
|
||||
});
|
||||
|
||||
img.path = newPath;
|
||||
img.maskStrokes = [];
|
||||
} catch (e) {
|
||||
console.error("Inpainting failed", e);
|
||||
throw e; // Propagate error
|
||||
}
|
||||
}
|
||||
|
||||
async function processInpainting(index: number) {
|
||||
const img = images.value[index];
|
||||
if (!img) return;
|
||||
|
||||
isProcessing.value = true;
|
||||
progress.value = { current: 0, total: 1 };
|
||||
try {
|
||||
await runInpaintingForImage(img);
|
||||
progress.value.current = 1;
|
||||
} catch (e) {
|
||||
alert("处理失败: " + e);
|
||||
} finally {
|
||||
isProcessing.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function processAllInpainting() {
|
||||
const candidates = images.value.filter(img => img.maskStrokes && img.maskStrokes.length > 0);
|
||||
if (candidates.length === 0) return;
|
||||
|
||||
isProcessing.value = true;
|
||||
progress.value = { current: 0, total: candidates.length };
|
||||
try {
|
||||
// Parallel processing in batches to avoid overwhelming backend
|
||||
const batchSize = 4;
|
||||
for (let i = 0; i < candidates.length; i += batchSize) {
|
||||
const batch = candidates.slice(i, i + batchSize).map(async (img) => {
|
||||
await runInpaintingForImage(img);
|
||||
progress.value.current++;
|
||||
});
|
||||
await Promise.all(batch);
|
||||
}
|
||||
alert("批量处理完成!");
|
||||
} catch (e) {
|
||||
alert("批量处理部分失败: " + e);
|
||||
} finally {
|
||||
isProcessing.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Applies the settings from the CURRENT image (or global if not overridden) to ALL images
|
||||
// Strategy: Update Global Settings to match current view, and clear individual overrides so everyone follows global.
|
||||
function applySettingsToAll() {
|
||||
@@ -184,6 +291,18 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
}
|
||||
}
|
||||
|
||||
function nextImage() {
|
||||
if (images.value.length === 0) return;
|
||||
const nextIndex = (selectedIndex.value + 1) % images.value.length;
|
||||
selectImage(nextIndex);
|
||||
}
|
||||
|
||||
function prevImage() {
|
||||
if (images.value.length === 0) return;
|
||||
const prevIndex = (selectedIndex.value - 1 + images.value.length) % images.value.length;
|
||||
selectImage(prevIndex);
|
||||
}
|
||||
|
||||
return {
|
||||
images,
|
||||
selectedIndex,
|
||||
@@ -191,6 +310,9 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
editMode,
|
||||
watermarkSettings,
|
||||
brushSettings,
|
||||
isDetecting,
|
||||
isProcessing,
|
||||
progress,
|
||||
setImages,
|
||||
selectImage,
|
||||
updateWatermarkSettings,
|
||||
@@ -199,7 +321,13 @@ export const useGalleryStore = defineStore("gallery", () => {
|
||||
applySettingsToAll,
|
||||
addMaskStroke,
|
||||
clearMask,
|
||||
detectWatermark,
|
||||
recalcAllWatermarks
|
||||
detectCurrentWatermark,
|
||||
detectAllWatermarks,
|
||||
recalcAllWatermarks,
|
||||
processInpainting,
|
||||
processAllInpainting,
|
||||
restoreImage,
|
||||
nextImage,
|
||||
prevImage
|
||||
};
|
||||
});
|
||||
|
||||
@@ -5,4 +5,24 @@
|
||||
src: url('/fonts/Roboto-Regular.ttf') format('truetype');
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
/* Custom scrollbar styles */
|
||||
::-webkit-scrollbar {
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-track {
|
||||
background-color: #1f2937; /* gray-800 */
|
||||
border-radius: 10px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb {
|
||||
background-color: #4b5563; /* gray-600 */
|
||||
border-radius: 10px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb:hover {
|
||||
background-color: #6b7280; /* gray-500 */
|
||||
}
|
||||