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whai362/PSENet
为什么ctw和tt进行test.py输出的txt数值不能直接可视化

2e15fd440a1f9b95099ab8ef3aec740
  • rebornone1
  • 2
  • Opened 
    on Dec 26, 2023
  • #194

whai362/PSENet
Checkpoint archives are damaged

I ve tried to download and extract the following archives: psenet_r50_ic15_736_finetune.pth.tar psenet_r50_ic15_736.pth.tar psenet_r50_ic15_1024.pth.tar But WinRAR states all of them are either in unknown ...
  • chernobaevigor
  • 1
  • Opened 
    on Apr 27, 2023
  • #193

whai362/PSENet
OSS License compatibility question

There’s possible confusion on the license of your repository when you combine other open-source code. The module PSENet-python2/pse/.ycm_extra_conf.py claims its license as GNU General Public License ...
  • Ashley123456789
  • Opened 
    on Jan 29, 2023
  • #192

whai362/PSENet
_pickle.UnpicklingError: invalid load key, \xef .

配置好框架之后 train.py训练 报这个错 请问大家 我是哪里还没配好吗 File train.py , line 213, in module main(args) File train.py , line 164, in main model = build_model(cfg.model) File /home/liyanyan/PSE_origial/models/builder.py ...
  • Captainlululu
  • Opened 
    on Dec 30, 2022
  • #191

whai362/PSENet
The sample 3924 not present in GT

执行测试h ./eval_ic15.sh，遇到这个问题，你们知道怎么解决吗
  • zeng-cy
  • Opened 
    on Nov 25, 2022
  • #190

whai362/PSENet
No module named 'models.post_processing.pa.pa'

你们遇到过吗
  • zeng-cy
  • 1
  • Opened 
    on Nov 19, 2022
  • #189

whai362/PSENet
验证精度始终为0

我按照readme文件中的指令训练完成后使用script.py文件进行精度验证，发现精度始终为0 Calculated!{ precision : 0.0, recall : 0.0, hmean : 0, AP : 0} 查看网络输出后发现输出的res_img_xx.txt文件内，只有坐标，没有transcription 而计算精度时又需要用到transcription，所以精度一直为0.请问怎么解决这个问题？ ...
  • 1826133674
  • 1
  • Opened 
    on Sep 27, 2022
  • #188

whai362/PSENet
训练过程中怎么显示检测的acc

现在显示的是识别的acc_rec，怎么显示检测的acc
  • TinkingLoeng
  • 1
  • Opened 
    on Jul 29, 2022
  • #187

whai362/PSENet
画mask图不对

cv2.drawContours(gt_instance, [bboxes[i]], -1, i + 1, -1) 但是输入的 [bboxes[i]]格式为： [[[235 200] [329 181] [433 222] [405 242] [338 210] [245 224]]] 根本没办法画轮廓
  • TinkingLoeng
  • Opened 
    on Jul 29, 2022
  • #186

whai362/PSENet
这里结果不对吧? kernels大于0判断,为啥去大于0的,这里的kernels阈值怎么会是0呢

score = torch.sigmoid(out[:, 0, :, :]) # out = (torch.sign(out - 1) + 1) / 2 # 0 1 # # text_mask = out[:, 0, :, :] # kernels = out[:, 1:cfg.test_cfg.kernel_num, :, :] * text_mask kernels = out[:, ...
  • cqray1990
  • 1
  • Opened 
    on Jul 6, 2022
  • #185
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