Spaces:
Running
Running
fix square support
Browse files
app.py
CHANGED
@@ -28,6 +28,10 @@ def process_images(image,no_mesh_draw=False,square_shape=False,progress=gr.Progr
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progress(0, desc="Start Mediapipe")
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boxes,mp_image,face_landmarker_result = mp_box.mediapipe_to_box(image)
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if no_mesh_draw:
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annotated_image = image
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else:
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@@ -39,22 +43,17 @@ def process_images(image,no_mesh_draw=False,square_shape=False,progress=gr.Progr
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}
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index = 1
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print(boxes)
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if square_shape:
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xy_boxes = boxes[3:]
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else:
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xy_boxes = boxes[:3]
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print(len(xy_boxes))
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for box in xy_boxes:
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label=f"type-{index}"
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print(box)
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print(mp_box.xywh_to_xyxy(box))
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annotation_boxes.append([mp_box.xywh_to_xyxy(box),label])
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jsons[label] = boxes[index-1]
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print(index)
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index+=1
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annotation_boxes.append(([0,0,1,1],"None"))
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@@ -124,12 +123,12 @@ with gr.Blocks(css=css, elem_id="demo-container") as demo:
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btn.click(fn=process_images, inputs=[image,no_mesh_draw], outputs =[image_out,text_out], api_name='infer')
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gr.Examples(
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examples =["examples/00004200.jpg"],
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inputs=[image]
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)
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gr.HTML(read_file("demo_footer.html"))
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progress(0, desc="Start Mediapipe")
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boxes,mp_image,face_landmarker_result = mp_box.mediapipe_to_box(image)
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for i in range(len(boxes)):
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boxes[i] = mp_box.to_int_box(boxes[i])
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+
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if no_mesh_draw:
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annotated_image = image
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else:
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}
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index = 1
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if square_shape:
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xy_boxes = boxes[3:]
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else:
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xy_boxes = boxes[:3]
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for box in xy_boxes:
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label=f"type-{index}"
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annotation_boxes.append([mp_box.xywh_to_xyxy(box),label])
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jsons[label] = boxes[index-1]
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index+=1
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annotation_boxes.append(([0,0,1,1],"None"))
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btn.click(fn=process_images, inputs=[image,no_mesh_draw,square_shape], outputs =[image_out,text_out], api_name='infer')
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gr.Examples(
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examples =["examples/00004200.jpg"],
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inputs=[image]
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)
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gr.HTML(read_file("demo_footer.html"))
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if __name__ == "__main__":
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demo.launch()
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mp_box.py
CHANGED
@@ -5,10 +5,15 @@ from mediapipe.framework.formats import landmark_pb2
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from mediapipe import solutions
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import numpy as np
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# for X,Y,W,H to x1,y1,x2,y2(Left-top,right-bottom style)
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def xywh_to_xyxy(box):
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return [box[0],box[1],box[0]+box[2],box[1]+box[3]]
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def convert_to_box(face_landmarks_list,indices,w=1024,h=1024):
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x1=w
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y1=h
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from mediapipe import solutions
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import numpy as np
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# heavy changed in gradio app
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# for X,Y,W,H to x1,y1,x2,y2(Left-top,right-bottom style)
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def xywh_to_xyxy(box):
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return [box[0],box[1],box[0]+box[2],box[1]+box[3]]
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def to_int_box(box):
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return [int(box[0]),int(box[1]),int(box[2]),int(box[3])]
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def convert_to_box(face_landmarks_list,indices,w=1024,h=1024):
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x1=w
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y1=h
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