hasibzunair/fifa-demo

[BMVC'2022] Demo code for Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On

fifa-demo's Issues

google drive access denied

I want to use model. So I use this colab demo code, I see this issue in "second preprocessing cell"

code

`import time

start_time = time.time()

remove_bg = False

img_name = 'person.png'
img_path = os.path.join('inputs/img', sorted(os.listdir('inputs/img'))[0])
img = Image.open(img_path)
if remove_bg:
img = remove(img, alpha_matting=True, alpha_matting_erode_size=15)
print("Removing background from person image..")
img = ImageOps.fit(img, (192, 256), Image.BICUBIC).convert("RGB")

img_mask = remove(img, alpha_matting=True, alpha_matting_erode_size=15, only_mask=True)
img_path = os.path.join('Data_preprocessing/test_img', img_name)
img.save(img_path)
resize_time = time.time()
print('Resized image in {}s'.format(resize_time-start_time))

!python3 Self-Correction-Human-Parsing-for-ACGPN/simple_extractor.py --dataset 'lip' --model-restore 'lip_final.pth' --input-dir 'Data_preprocessing/test_img' --output-dir 'Data_preprocessing/test_label'
parse_time = time.time()
print('Parsing generated in {}s'.format(parse_time-resize_time))

pose_path = os.path.join('Data_preprocessing/test_pose', img_name.replace('.png', '_keypoints.json'))
generate_pose_keypoints(img_path, pose_path)
pose_time = time.time()
print('Pose map generated in {}s'.format(pose_time-parse_time))`

error

`Access denied with the following error:

Cannot retrieve the public link of the file. You may need to change
the permission to 'Anyone with the link', or have had many accesses. 

You may still be able to access the file from the browser:

 https://drive.google.com/uc?id=1tCU5MM1LhRgGou5OpmpjBQbSrYIUoYab 

---

NoSuchFile Traceback (most recent call last)
in
15 img = ImageOps.fit(img, (192, 256), Image.BICUBIC).convert("RGB")
16 # Get binary from person image
---> 17 img_mask = remove(img, alpha_matting=True, alpha_matting_erode_size=15, only_mask=True)
18 img_path = os.path.join('Data_preprocessing/test_img', img_name)
19 img.save(img_path)

3 frames
/usr/local/lib/python3.8/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py in _create_inference_session(self, providers, provider_options, disabled_optimizers)
366 session_options = self._sess_options if self._sess_options else C.get_default_session_options()
367 if self._model_path:
--> 368 sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
369 else:
370 sess = C.InferenceSession(session_options, self._model_bytes, False, self._read_config_from_model)

NoSuchFile: [ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from /root/.u2net/u2net.onnx failed:Load model /root/.u2net/u2net.onnx failed. File doesn't exist`