[R] Remove git lfs to try to fix pr

Author: kunkunlin1221

.gitattributes

@@ -3,10 +3,10 @@
 
 import pyface.components as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
-def main(img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg")):
+def main(img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg")):
     face_detect = pf.build_face_detection()
     face_depth = pf.build_face_depth()
 
@@ -16,7 +16,7 @@ def main(img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg")):
     results = face_depth([img], [face_box], return_depth=True)
     plotted = face_depth.draw_results(img, [face_box], results)
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     cb.imwrite(plotted, out_folder / "face_depth1.png")
     cb.imwrite(results[0]["depth_img"], out_folder / "face_depth2.png")

demo/face_depth.py

@@ -5,11 +5,11 @@
 
 import pyface.components as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
 def main(
-    img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg"),
+    img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg"),
     score_th: float = 0.5,
     inp_size: Tuple[int, int] = (480, 640),
 ):
@@ -22,7 +22,7 @@ def main(
     proposals_list = face_detection([img] * 7)
     plotted = face_detection.draw_proposals(img, proposals_list[0])
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     cb.imwrite(plotted, out_folder / "face_detection.png")
 

demo/face_detection.py

@@ -3,10 +3,10 @@
 
 import pyface.components as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
-def main(img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg")):
+def main(img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg")):
     face_detect = pf.build_face_detection()
     face_gender = pf.build_gender_detection()
 
@@ -16,7 +16,7 @@ def main(img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg")):
     results = face_gender([img], [face_box])
     plotted = face_gender.draw_results(img, [face_box], results)
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     cb.imwrite(plotted, out_folder / "face_gender.png")
 

demo/face_gender.py

@@ -5,11 +5,11 @@
 
 import pyface as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
 def main(
-    img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg"),
+    img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg"),
     score_th: float = 0.5,
     inp_size: Tuple[int, int] = (480, 640),
 ):
@@ -25,7 +25,7 @@ def main(
     result = face_landmark([img], [box])[0]
     plotted = face_landmark.draw_result(img, box, result, plot_details=True)
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     cb.imwrite(plotted, out_folder / "face_landmark.jpg")
 

demo/face_landmark.py

@@ -5,15 +5,15 @@
 
 import pyface.components as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
 def main(
-    img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg"),
+    img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg"),
     scale: float = 1,
     dst_size: Tuple[int, int] = (224, 224),
 ):
-    face_detection = pf.SCRFD()
+    face_detection = pf.build_face_detection()
     face_normaliation = pf.FaceNormalize(
         dst_size=dst_size,
         interpolation=cb.INTER.BILINEAR,
@@ -22,13 +22,9 @@ def main(
     img = cb.imread(img_path)
     proposals = face_detection([img])[0]
     norm_img = face_normaliation([img], [cb.Keypoints(proposals["lmk5pts"][0])])[0]
-    norm_img = cb.draw_keypoints(
-        norm_img,
-        face_normaliation.destination_pts,
-        scale=1,
-    )
+    norm_img = cb.draw_keypoints(norm_img, face_normaliation.destination_pts, scale=1)
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     cb.imwrite(norm_img, out_folder / f"face_normalize_s={scale}.png")
 

demo/face_normalization.py

@@ -3,12 +3,12 @@
 
 import pyface as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
 def main(
-    src_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg"),
-    tgt_path: str = str(cur_folder / "data" / "face_bank" / "EmmaWatson.jpg"),
+    src_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg"),
+    tgt_path: str = str(RESOURCE_DIR / "face_bank" / "EmmaWatson.jpg"),
 ):
     face_detection = pf.build_face_detection()
     face_recognition = pf.build_face_recognition()
@@ -17,7 +17,7 @@ def main(
     tgt_img = cb.imread(tgt_path)
     lmks = [p["lmk5pts"][0] for p in face_detection([src_img, tgt_img])]
 
-    out_folder = cur_folder / "output"
+    out_folder = cb.get_curdir(__file__) / "output"
     out_folder.mkdir(exist_ok=True, parents=True)
     results = face_recognition([src_img, tgt_img], lmks)
     src_emb = results[0]["embeddings"]

demo/face_recognition.py

@@ -3,12 +3,12 @@
 
 import pyface as pf
 
-cur_folder = cb.get_curdir(__file__)
+RESOURCE_DIR = cb.get_curdir(__file__).parent / "tests" / "resources"
 
 
 def main(
-    img_path: str = str(cur_folder / "data" / "EmmaWatson1.jpg"),
-    face_bank: str = str(cur_folder / "data" / "face_bank"),
+    img_path: str = str(RESOURCE_DIR / "EmmaWatson1.jpg"),
+    face_bank: str = str(RESOURCE_DIR / "face_bank"),
 ):
     face_service = pf.FaceService(
         enable_gender=True,
@@ -19,7 +19,9 @@ def main(
     )
     img = cb.imread(img_path)
     faces_on_img = face_service([img], do_1n=True)[0]
-    cb.imwrite(faces_on_img.gen_info_img(), str(cur_folder / "output" / "face_service.jpg"))
+    out_folder = cb.get_curdir(__file__) / "output"
+    out_folder.mkdir(exist_ok=True, parents=True)
+    cb.imwrite(faces_on_img.gen_info_img(), str(out_folder / "face_service.jpg"))
 
 
 if __name__ == "__main__":