same landmarks predictions for any image

[vaibhavch]

Using butterfly module for interference. A custom dataset trained with 292 landmark points.

input node: butterfly/image_tensor

output_node: butterfly/layer6/final_dense

image = cv2.imread(args.image) face_img = np.array(image, np.uint8) marks = np.array(fly.run([face_img])).flatten()[:292] marks = np.reshape(marks, (-1, 2)) print(marks)

why iam getting same predictions for every image?

[abdou31]

More explanation, could you show the results on images?

[vaibhavch]

@abdou31

same landmark coordinates irrespective of image input. something wrong with model itself?

[abdou31]

I will help you, but did you can tell me where do you get the annotated dataset please

[luoww1992]

I have the same result, have you solved it ? how to do it ?