i need help about captchasolver HOT 14 CLOSED

It seems that the mpcabete's bot has not been completed yet, and it seems to have to wait. Thank you for your patience.

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@panghuahua2017 Whats is your python version?

from captchasolver.

@Nucito python-3.10.0-amd64 sir

from captchasolver.

@panghuahua2017 Unfortunately the torch only supports python versions 3.9.x or below😅

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@panghuahua2017 If you want to continue using your version, I recommend that you install version 3.9 in a virtualenv😁

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Okay, I will replace the existing python version, thank you.another question, can it be running at the same time with the bot by@mpcabete ?https://github.com/mpcabete/bombcrypto-bot

from captchasolver.

@mpcabete is using exactly this code, I have contact with him through discord, if you look at the latest version of it you will see that there is the folder of this project inside the code.

from captchasolver.

@Nucito Are you saying that he has merged your code into it?

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I don't understand this much, I confirmed it, he seems to have been updated, thank you so much! ! !

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Are you saying that he has merged your code into it?

Yes 😁

from captchasolver.

I don't understand this much, I confirmed it, he seems to have been updated, thank you so much! ! !

Hope you like the code😁

from captchasolver.

C:\Users\2017\Desktop\CaptchaSolver>python captcha_solver.py

             from  n    params  module                                  arguments

0 -1 1 3520 models.common.Focus [3, 32, 3]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 19904 models.common.BottleneckCSP [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 1 161152 models.common.BottleneckCSP [128, 128, 3]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 1 641792 models.common.BottleneckCSP [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 656896 models.common.SPP [512, 512, [5, 9, 13]]
9 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 378624 models.common.BottleneckCSP [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 95104 models.common.BottleneckCSP [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 313088 models.common.BottleneckCSP [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
24 [17, 20, 23] 1 40455 models.yolo.Detect [10, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
C:\Users\2017\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Model Summary: 283 layers, 7279367 parameters, 7279367 gradients, 16.9 GFLOPS

Adding autoShape...
{'Captcha': '861', 'Cods': [{'6': {'x1': 47.03, 'y1': 278.7, 'x2': 159.94, 'y2': 357.61, 'per': 0.91}}, {'1': {'x1': 37.01, 'y1': 366.24, 'x2': 180.87, 'y2': 399.01, 'per': 0.91}}, {'8': {'x1': 47.16, 'y1': 195.8, 'x2': 152.64, 'y2': 263.24, 'per': 0.85}}]}

C:\Users\2017\Desktop\CaptchaSolver>python captcha_solver.py

             from  n    params  module                                  arguments

0 -1 1 3520 models.common.Focus [3, 32, 3]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 19904 models.common.BottleneckCSP [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 1 161152 models.common.BottleneckCSP [128, 128, 3]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 1 641792 models.common.BottleneckCSP [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 656896 models.common.SPP [512, 512, [5, 9, 13]]
9 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 378624 models.common.BottleneckCSP [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 95104 models.common.BottleneckCSP [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 313088 models.common.BottleneckCSP [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
24 [17, 20, 23] 1 40455 models.yolo.Detect [10, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
C:\Users\2017\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Model Summary: 283 layers, 7279367 parameters, 7279367 gradients, 16.9 GFLOPS

Adding autoShape...
{'Captcha': '861', 'Cods': [{'6': {'x1': 47.03, 'y1': 278.7, 'x2': 159.94, 'y2': 357.61, 'per': 0.91}}, {'1': {'x1': 37.01, 'y1': 366.24, 'x2': 180.87, 'y2': 399.01, 'per': 0.91}}, {'8': {'x1': 47.16, 'y1': 195.8, 'x2': 152.64, 'y2': 263.24, 'per': 0.85}}]}

C:\Users\2017\Desktop\CaptchaSolver>python -m pip install --upgrade pip
Requirement already satisfied: pip in c:\users\2017\appdata\local\programs\python\python39\lib\site-packages (21.2.4)
Collecting pip
Downloading pip-21.3.1-py3-none-any.whl (1.7 MB)
|████████████████████████████████| 1.7 MB 42 kB/s
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 21.2.4
Uninstalling pip-21.2.4:
Successfully uninstalled pip-21.2.4
Successfully installed pip-21.3.1

C:\Users\2017\Desktop\CaptchaSolver>python captcha_solver.py

             from  n    params  module                                  arguments

0 -1 1 3520 models.common.Focus [3, 32, 3]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 19904 models.common.BottleneckCSP [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 1 161152 models.common.BottleneckCSP [128, 128, 3]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 1 641792 models.common.BottleneckCSP [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 656896 models.common.SPP [512, 512, [5, 9, 13]]
9 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 378624 models.common.BottleneckCSP [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 95104 models.common.BottleneckCSP [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 313088 models.common.BottleneckCSP [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1248768 models.common.BottleneckCSP [512, 512, 1, False]
24 [17, 20, 23] 1 40455 models.yolo.Detect [10, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
C:\Users\2017\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Model Summary: 283 layers, 7279367 parameters, 7279367 gradients, 16.9 GFLOPS

Adding autoShape...
{'Captcha': '861', 'Cods': [{'6': {'x1': 47.03, 'y1': 278.7, 'x2': 159.94, 'y2': 357.61, 'per': 0.91}}, {'1': {'x1': 37.01, 'y1': 366.24, 'x2': 180.87, 'y2': 399.01, 'per': 0.91}}, {'8': {'x1': 47.16, 'y1': 195.8, 'x2': 152.64, 'y2': 263.24, 'per': 0.85}}]}

I seem to have other problems^ ^

from captchasolver.

It seems that the mpcabete's bot has not been completed yet, and it seems to have to wait. Thank you for your patience.

The mpcabete will release a new version soon 😁

from captchasolver.

The error UserWarning is only a warning in this version of pytorch you can suppress this with logger 😁

from captchasolver.