adding cat pb

DLC_models/DLC_Cat_resnet_50_iteration-0_shuffle-0/snapshot-75000.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d44893d1d7a0a07afd37b28c8c00cd8178ae69a0ff49152f16c08c53b8efa4da
+size 98887790

app.py

@@ -116,6 +116,7 @@ def predict_dlc(list_np_crops,DLCmodel,dlc_proc):
 
     list_kpts_per_crop = []
     for crop in list_np_crops:
+        # scale crop?
         keypts = dlc_live.get_pose(crop) # third column is llk!
         list_kpts_per_crop.append(keypts)
 
@@ -145,11 +146,11 @@ def predict_pipeline(img_input):
     
 
     # # Produce final image
-    fig = plt.Figure(md_results.imgs[0].shape[:2]) #figsize=(10,10)) #md_results.imgs[0].shape)
+    # fig = plt.Figure(md_results.imgs[0].shape[:2]) #figsize=(10,10)) #md_results.imgs[0].shape)
     for ic, (np_crop, kpts_crop) in enumerate(zip(list_crops,
                                                   list_kpts_per_crop)):
 
-        # Draw keypts on crop
+        ## Draw keypts on crop
         img_crop = Image.fromarray(np_crop)
         draw_keypoints_on_image(img_crop,
                                 kpts_crop, # a numpy array with shape [num_keypoints, 2].
@@ -157,9 +158,8 @@ def predict_pipeline(img_input):
                                 radius=2,
                                 use_normalized_coordinates=False) # if True, then I should use md_results.xyxyn
 
-        # Paste crop in original image
+        ## Paste crop in original image
         # https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.paste
-
         img_input.paste(img_crop,
                         box = tuple([int(math.floor(t)) for t in md_results.xyxy[0][ic,:2]]))