How to run eval.py without cuda? about yolact HOT 26 OPEN

@jhsiao21
I added some codes to run eval.py on CPU. I guess it works correctly. If you have any time, please try it!
https://github.com/ar90n/yolact/tree/add-evaluation-without-cuda-support

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@sch1eicher @sree3333 it seems that the original repo I took the fork from was removed, I forked my own and added the code there:

here the branch on my fork where I got it to work:

https://github.com/jerpint/yolact/tree/yolact-cpu

To use it:

git clone https://github.com/jerpint/yolact/
git checkout yolact-cpu
python eval.py --trained_model=weights/yolact_base_54_800000.pth --score_threshold=0.15 --top_k=15 --video_multiframe=4

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@jhsiao21 Ive made some some modifications such that eval.py runs on cpu too. You can try it out.
https://github.com/HariharanJ9779/yolact

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Oof

While I was implementing this, I considered writing it in a way that would also support running it on the CPU. However, pretty early on I decided that in order to squeeze as much speed out of the model as possible, I would optimize 100% for GPU usage and ignore running it on the CPU. Adding CPU support now would require a lot of changes.

I'll keep this issue open in case I do get around to adding CPU support, but for now it's not a high priority.

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@ar90n @HariharanJ9779
What was the FPS on CPU?
With which CPU your used?

Thanks!

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@sdimantsd Running evaluation on videos is very slow.
Intel CPU works fine.

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@bond9779 thank you, it worked on my laptop (Thinkpad running ubuntu).

It is indeed pretty slow, you can expect approximately about 1-2 fps. The CPU I have is :

$ cat /proc/cpuinfo | grep "model name"
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz

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@jerpint @bond9779 Thx!

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@bond9779 thank you, it worked on my laptop (Thinkpad running ubuntu).

It is indeed pretty slow, you can expect approximately about 1-2 fps. The CPU I have is :

$ cat /proc/cpuinfo | grep "model name"
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz

Hey @jerpint
Could you send me the code that @bond9779 made for CPU, the link is not working
could you upload it on Google drive or something and send me the link?

Thanks alot

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@bond9779 thank you, it worked on my laptop (Thinkpad running ubuntu).
It is indeed pretty slow, you can expect approximately about 1-2 fps. The CPU I have is :

$ cat /proc/cpuinfo | grep "model name"
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
model name      : Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz

Hey @jerpint
Could you send me the code that @bond9779 made for CPU, the link is not working
could you upload it on Google drive or something and send me the link?

Thanks alot

Hey @sree3333 or @jerpint
have you recived any code or can you provide any code made for the cpu for me?

Thanks!

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@sch1eicher @sree3333 it seems that the original repo I took the fork from was removed, I forked my own and added the code there:

here the branch on my fork where I got it to work:

https://github.com/jerpint/yolact/tree/yolact-cpu

To use it:

git clone https://github.com/jerpint/yolact.git
git checkout yolact-cpu
python eval.py --trained_model=weights/yolact_base_54_800000.pth --score_threshold=0.15 --top_k=15 --video_multiframe=4

Works like a charm. Thanks a lot!

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which torch version should I use , I installed multiple version for torch and torchvision like
'''
!pip install torch==1.3.0 torchvision==0.4.1+cpu -f https://download.pytorch.org/whl/torch_stable.html

'''
but still git this message :
File "C:\Users\Mohammed\AppData\Roaming\Python\Python37\site-packages\torch\cuda_init_.py", line 192, in _lazy_init
check_driver()
File "C:\Users\Mohammed\AppData\Roaming\Python\Python37\site-packages\torch\cuda_init.py", line 95, in _check_driver
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

by run this comand:
!python ./yolact/eval.py --trained_model=./yolact_base_54_800000.pth --cuda=False --config=yolact_base_config --score_threshold=0.15 --top_k=15 --images=test_images:output_images

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@elhmadany did you try the solution I posted above? I haven't modified it since, so it should still work. I don't think the pytorch versions will change much at this point.

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@jerpint ,thank you for your response .
yes. i used git clone from your repo and run it in jupyter notebook but still the same problem regrading to CUDA by this message after I removed (--cuda=False) from comand :

Traceback (most recent call last):
File "./yolact/eval.py", line 1078, in
torch.set_default_tensor_type('torch.cuda.FloatTensor')
File "C:\Users\Mohammed\AppData\Roaming\Python\Python37\site-packages\torch_init_.py", line 155, in set_default_tensor_type
_C._set_default_tensor_type(t)
TypeError: type torch.cuda.FloatTensor not available. Torch not compiled with CUDA enabled.

in addition I checked CUDA status by:

import torch
print(torch.version.cuda)
print(torch.cuda.device_count())
print(torch.cuda.is_available())

--->
None
0
False

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@elhmadany what are you running inside a notebook exactly? The fork will only allow you to run the command I posted, anything else in that repo probably won't work out of the box on cpu.

As for the cuda statuses you get, they are e
what you should expect when running on cpu.

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yes, my objective is run yolcat on CPU only with out cuda.
but I am still I do not know where is the issue . and in notebook I just installed the used packages like (cython,opencv-python,pillow)and torch==1.2.0+cpu torchvision==0.4.0+cpu.
I think my problem in torch . do I reinstall it a gain by another version or what do you see.
I really appreciate your help

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now ,it works good with me on images after comment and modify the eval.py and augmentations.py files where is cuda used.

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@sch1eicher @sree3333 it seems that the original repo I took the fork from was removed, I forked my own and added the code there:

here the branch on my fork where I got it to work:

https://github.com/jerpint/yolact/tree/yolact-cpu

To use it:

git clone https://github.com/jerpint/yolact/
git checkout yolact-cpu
python eval.py --trained_model=weights/yolact_base_54_800000.pth --score_threshold=0.15 --top_k=15 --video_multiframe=4

I am getting an error while loading the weights : Error(s) in loading state_dict for Yolact
I followed the steps that you have mentioned. Any fix for this?

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@sch1eicher @sree3333@arjungoel7 when i use it :
"git clone https://github.com/jerpint/yolact/
git checkout yolact-cpu
python eval.py --trained_model=weights/yolact_plus_resnet50_pascal_441_190000.pth --score_threshold=0.01 --top_k=5 --images="./test_single":"./genout1"
I am getting an error:
[sherry@xiaoi2018-754 yolact-yolact-cpu]$ CUDA_VISIBLE_DEVICES=-1 sh run_test.sh
Config not specified. Parsed yolact_plus_resnet50_pascal_config from the file name.

Loading model...Traceback (most recent call last):
File "eval.py", line 1031, in
net.load_weights(args.trained_model)
File "/home/sherry/cuimiao/Fabric_defect_detection/yolact-yolact-cpu/yolact.py", line 478, in load_weights
self.load_state_dict({k.replace('module.',''):v for k,v in state_dict.items()})
File "/home/sherry/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Yolact:
Unexpected key(s) in state_dict: "maskiou_net.maskiou_net.0.weight", "maskiou_net.maskiou_net.0.bias", "maskiou_net.maskiou_net.2.weight", "maskiou_net.maskiou_net.2.bias", "maskiou_net.maskiou_net.4.weight", "maskiou_net.maskiou_net.4.bias", "maskiou_net.maskiou_net.6.weight", "maskiou_net.maskiou_net.6.bias", "maskiou_net.maskiou_net.8.weight", "maskiou_net.maskiou_net.8.bias", "maskiou_net.maskiou_net.10.weight", "maskiou_net.maskiou_net.10.bias".

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@shakey-cuimiao Yes I get the same error

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@arjungoel7 @ jerpint @ar90n elhmadany when i run
python eval.py --trained_model=weights/weights/yolact_base_54_800000.pth --score_threshold=0.01 --top_k=5 --images="./test_single":"./genout1" ，it is ok,
But i run yolact++ ,I am getting an error :Error(s) in loading state_dict for Yolact,Unexpected key(s) in state_dict: "maskiou_net.maskiou_net.0.weight",

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I haven't used this repo in a while. Most likely the models have been updated while the branch I created a while back has remained stale. Try merging master of yolact back into the branch I created, that might be your best bet.

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@jhsiao21
I added some codes to run eval.py on CPU. I guess it works correctly. If you have any time, please try it!
https://github.com/ar90n/yolact/tree/add-evaluation-without-cuda-support

I'm trying to run yolact++ on CPU using your code. i made changes to load_weights function in yolact.py

def load_weights(self, path,map_location=None):
        """ Loads weights from a compressed save file. """
        #state_dict = torch.load(path)
        state_dict = torch.load(path, map_location=map_location)
        
        # For backward compatability, remove these (the new variable is called layers)
        for key in list(state_dict.keys()):
            if key.startswith('backbone.layer') and not key.startswith('backbone.layers'):
                del state_dict[key]
        
            # Also for backward compatibility with v1.0 weights, do this check
            if key.startswith('fpn.downsample_layers.'):
                if cfg.fpn is not None and int(key.split('.')[2]) >= cfg.fpn.num_downsample:
                    del state_dict[key]
        
        self = nn.DataParallel(self)
        self.module.load_state_dict(state_dict)

And this was the error. it works fine for yolact, but does not work with yolact++ resnet101.

Loading model...Traceback (most recent call last):
  File "eval.py", line 1110, in <module>
    net.load_weights(args.trained_model, map_location=map_location)
  File "/content/yolact_gpu/yolact.py", line 495, in load_weights
    self.module.load_state_dict(state_dict)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 830, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Yolact:
	Unexpected key(s) in state_dict: "backbone.layers.1.0.conv2.bias", "backbone.layers.1.0.conv2.conv_offset_mask.weight", "backbone.layers.1.0.conv2.conv_offset_mask.bias", "backbone.layers.1.3.conv2.bias", "backbone.layers.1.3.conv2.conv_offset_mask.weight", "backbone.layers.1.3.conv2.conv_offset_mask.bias", "backbone.layers.2.0.conv2.bias", "backbone.layers.2.0.conv2.conv_offset_mask.weight", "backbone.layers.2.0.conv2.conv_offset_mask.bias", "backbone.layers.2.3.conv2.bias", "backbone.layers.2.3.conv2.conv_offset_mask.weight", "backbone.layers.2.3.conv2.conv_offset_mask.bias", "backbone.layers.2.6.conv2.bias", "backbone.layers.2.6.conv2.conv_offset_mask.weight", "backbone.layers.2.6.conv2.conv_offset_mask.bias", "backbone.layers.2.9.conv2.bias", "backbone.layers.2.9.conv2.conv_offset_mask.weight", "backbone.layers.2.9.conv2.conv_offset_mask.bias", "backbone.layers.2.12.conv2.bias", "backbone.layers.2.12.conv2.conv_offset_mask.weight", "backbone.layers.2.12.conv2.conv_offset_mask.bias", "backbone.layers.2.15.conv2.bias", "backbone.layers.2.15.conv2.conv_offset_mask.weight", "backbone.layers.2.15.conv2.conv_offset_mask.bias", "backbone.layers.2.18.conv2.bias", "backbone.layers.2.18.conv2.conv_offset_mask.weight", "backbone.layers.2.18.conv2.conv_offset_mask.bias", "backbone.layers.2.21.conv2.bias", "backbone.layers.2.21.conv2.conv_offset_mask.weight", "backbone.layers.2.21.conv2.conv_offset_mask.bias", "backbone.layers.3.0.conv2.bias", "backbone.layers.3.0.conv2.conv_offset_mask.weight", "backbone.layers.3.0.conv2.conv_offset_mask.bias".

Any reference or leads would help. Thank you.

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@jerpint
Hello.
I changed eval.py code of YOLACT repo based on your eval code, but I can't inference with CPU as before.
By the way, I always get "RuntimeError: CUDA error: out of memory".
Please help me.
Many thanks

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Reference:
https://github.com/SpaceView/yolact_cpu
I have just tested in on windows, it works fine. Hope it can help a little bit.
I found that most of their work didn't remove the parallel part, the torch parallel will automatically select CUDA if there is one.
Main changes are made as below,
net = net.cpu() #net = CustomDataParallel(net)
transform = FastBaseTransform() #transform = torch.nn.DataParallel(FastBaseTransform())

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@SpaceView Thanks a lot for sharing this link :)

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