Reza Zolf

Results 6 issues of Reza Zolf

Hi, Thank you for sharing your code and models. It's hard to download from Baidu. Is it possible to upload the following models on google drive or dropbox? - SGE-ResNet50...

**Is your feature request related to a problem? Please describe.** When you select the "On top" mode, it works only for one desktop! when you switch to another desktop then...

enhancement

load checkpoint from checkpoints/ALBEF.pth _IncompatibleKeys(missing_keys=['idx_queue'], unexpected_keys=['text_encoder.cls.predictions.bias', 'text_encoder.cls.predictions.transform.dense.weight', 'text_encoder.cls.predictions.transform.dense.bias', 'text_encoder.cls.predictions.transform.LayerNorm.weight', 'text_encoder.cls.predictions.transform.LayerNorm.bias', 'text_encoder.cls.predictions.decoder.weight', 'text_encoder.cls.predictions.decoder.bias', 'text_encoder_m.cls.predictions.bias', 'text_encoder_m.cls.predictions.transform.dense.weight', 'text_encoder_m.cls.predictions.transform.dense.bias', 'text_encoder_m.cls.predictions.transform.LayerNorm.weight', 'text_encoder_m.cls.predictions.transform.LayerNorm.bias', 'text_encoder_m.cls.predictions.decoder.weight', 'text_encoder_m.cls.predictions.decoder.bias']) Do you know why this is happening?

Hi, Thanks for sharing the great work. I'm getting this error: ` module.load_state_dict(module_dict[name]) File "/home/anaconda3/envs/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1407, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for MappingNetwork: Missing key(s)...

*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

ChunkedEncodingError Traceback (most recent call last) Cell In[6], line 6 4 kwargs = {} 5 image_to_video_pipe = pipeline(task="image-to-video", model='damo/Image-to-Video', model_revision='v1.1.0', device='cuda:0', maxsize=100, **kwargs) ----> 6 video_to_video_pipe = pipeline(task="video-to-video", model='damo/Video-to-Video', model_revision='v1.1.0',...