Comments (5)
https://github.com/ericsujw/InstColorization/blob/master/models/fusion_model.py#L108
GF_state_dict_temp ={}
for k,v in GF_state_dict.items():
if k.startswith('module'):
GF_state_dict_temp[k[7:]] = v
else:
GF_state_dict_temp[k] = v
GF_state_dict = GF_state_dict_temp
G_state_dict_temp ={}
for k,v in G_state_dict.items():
if k.startswith('module'):
G_state_dict_temp[k[7:]] = v
else:
G_state_dict_temp[k] = v
G_state_dict = G_state_dict_temp
GComp_state_dict_temp ={}
for k,v in GComp_state_dict.items():
if k.startswith('module'):
GComp_state_dict_temp[k[7:]] = v
else:
GComp_state_dict_temp[k] = v
GComp_state_dict = GComp_state_dict_temp
self.netGF.load_state_dict(GF_state_dict, strict=True)
self.netG.load_state_dict(G_state_dict, strict=True)
self.netGComp.load_state_dict(GComp_state_dict, strict=True)
from instcolorization.
Do you follow the setting in the colab notebook?
You can run sh scripts/test_mask.sh
to get colorized results.
from instcolorization.
Yes, I do. infer box first and then run fusion. But I did this on my windows and cpu model. Do it matter.
And I as you can see that color seems on a small area. How to debug that?
from instcolorization.
Yes, I do. infer box first and then run fusion. But I did this on my windows and cpu model. Do it matter.
And I as you can see that color seems on a small area. How to debug that?
Please have a look at PR #12. The pretrained weights may not be loaded.
from instcolorization.
On Linux, CPU is also too, it is very strange, but GPU works well.
from instcolorization.
Related Issues (20)
- [Detectron2] RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 1
- How to achieve your test result on ImageNet?
- train very slow
- Color normalization
- Prediction on full size image without transformation ? HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: 'checkpoints/coco_finetuned_mask_256_ffs
- Why are the output images very blurred and the resolution is very low?
- I can not enter into http://localhost:8098.
- When I use my datasets to train, I meet so many error in test
- Model parameters and FLOPs?
- What is the difference between the provided model weights: "coco_finetuned_mask_256_ffs" and "coco_finetuned_mask_256"
- Checkpoints and COCOStuff setting
- Model weights without finetuning on COCO-Stuff.
- Model weights without finetuning on COCO-Stuff.
- PSNR and SSIM evalution question
- How to color if there is no instance
- Download the Model
- mask_list.append(pred_bg_mask + (1 - mask_sum_for_pred) * 100000.0)
- Colab notebook doesn't work
- detection2
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from instcolorization.