Add files

.gitignore

@@ -0,0 +1 @@
+images

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "onnx-facial-lmk-detector"]
+	path = onnx-facial-lmk-detector
+	url = https://github.com/atksh/onnx-facial-lmk-detector

app.py

@@ -0,0 +1,113 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import argparse
+import functools
+import os
+import pathlib
+import tarfile
+
+import cv2
+import gradio as gr
+import huggingface_hub
+import numpy as np
+import onnxruntime as ort
+
+TITLE = 'atksh/onnx-facial-lmk-detector'
+DESCRIPTION = 'This is a demo for https://github.com/atksh/onnx-facial-lmk-detector.'
+ARTICLE = None
+
+TOKEN = os.environ['TOKEN']
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--theme', type=str)
+    parser.add_argument('--live', action='store_true')
+    parser.add_argument('--share', action='store_true')
+    parser.add_argument('--port', type=int)
+    parser.add_argument('--disable-queue',
+                        dest='enable_queue',
+                        action='store_false')
+    parser.add_argument('--allow-flagging', type=str, default='never')
+    parser.add_argument('--allow-screenshot', action='store_true')
+    return parser.parse_args()
+
+
+def load_sample_images() -> list[pathlib.Path]:
+    image_dir = pathlib.Path('images')
+    if not image_dir.exists():
+        image_dir.mkdir()
+        dataset_repo = 'hysts/input-images'
+        filenames = ['001.tar']
+        for name in filenames:
+            path = huggingface_hub.hf_hub_download(dataset_repo,
+                                                   name,
+                                                   repo_type='dataset',
+                                                   use_auth_token=TOKEN)
+            with tarfile.open(path) as f:
+                f.extractall(image_dir.as_posix())
+    return sorted(image_dir.rglob('*.jpg'))
+
+
+def run(image: np.ndarray, sess: ort.InferenceSession) -> np.ndarray:
+    # float32, int, int, uint8, int, float32
+    # (N,), (N, 4), (N, 5, 2), (N, 224, 224, 3), (N, 106, 2), (N, 2, 3)
+    scores, bboxes, keypoints, aligned_images, landmarks, affine_matrices = sess.run(
+        None, {'input': image[:, :, ::-1]})
+
+    res = image[:, :, ::-1].copy()
+    for box in bboxes:
+        cv2.rectangle(res, tuple(box[:2]), tuple(box[2:]), (0, 255, 0), 1)
+    for pts in landmarks:
+        for pt in pts:
+            cv2.circle(res, tuple(pt), 1, (255, 255, 0), cv2.FILLED)
+
+    return res[:, :, ::-1], [face[:, :, ::-1] for face in aligned_images]
+
+
+def main():
+    gr.close_all()
+
+    args = parse_args()
+
+    options = ort.SessionOptions()
+    options.intra_op_num_threads = 8
+    options.inter_op_num_threads = 8
+    sess = ort.InferenceSession('onnx-facial-lmk-detector/model.onnx',
+                                sess_options=options,
+                                providers=['CPUExecutionProvider'])
+
+    func = functools.partial(run, sess=sess)
+    func = functools.update_wrapper(func, run)
+
+    image_paths = load_sample_images()
+    examples = ['onnx-facial-lmk-detector/input.jpg'
+                ] + [[path.as_posix()] for path in image_paths]
+
+    gr.Interface(
+        func,
+        gr.inputs.Image(type='numpy', label='Input'),
+        [
+            gr.outputs.Image(type='numpy', label='Output'),
+            gr.outputs.Carousel(gr.outputs.Image(type='numpy'),
+                                label='Aligned Faces'),
+        ],
+        examples=examples,
+        title=TITLE,
+        description=DESCRIPTION,
+        article=ARTICLE,
+        theme=args.theme,
+        allow_screenshot=args.allow_screenshot,
+        allow_flagging=args.allow_flagging,
+        live=args.live,
+    ).launch(
+        enable_queue=args.enable_queue,
+        server_port=args.port,
+        share=args.share,
+    )
+
+
+if __name__ == '__main__':
+    main()

onnx-facial-lmk-detector

@@ -0,0 +1 @@
+Subproject commit b92419b1cfa726e4105cdf7f0863926dd39690ba

requirements.txt

@@ -0,0 +1,3 @@
+numpy==1.22.3
+onnxruntime==1.11.0
+opencv-python-headless==4.5.5.64