import os
from google.colab import files
import shutil
DATA_DIR = "predict_from"
uploaded = files.upload()
for filename in uploaded.keys():
dst_path = os.path.join(DATA_DIR, filename)
shutil.move(filename, dst_path)
inference
!python predict.py
Then the following error is occurring
File "/content/Anime-Semantic-Segmentation-GAN/generator.py", line 21, in __init__
self.resnet101 = L.ResNet101Layers()
OSError: The pre-trained caffemodel does not exist. Please download it from 'https://github.com/KaimingHe/deep-residual-networks', and place it on /root/.chainer/dataset/pfnet/chainer/models/ResNet-101-model.caffemodel
I stepped on the link to download the file, but the download link did not allow me to download the file.
Is there any solution to this problem, such as the version must be wrong?
Also, I would like the requirement.txt file to be made public!
thank you sharing your work! There is an error during inference.
The environment was created in google colab and is as follows
upload my image file
inference
Then the following error is occurring
I stepped on the link to download the file, but the download link did not allow me to download the file. Is there any solution to this problem, such as the version must be wrong? Also, I would like the requirement.txt file to be made public!
Thank you very much.