Richard
Richard
@JohnnyGambler thanks for your work!
has anyone solved it :)
I successfully convert pytorch model to onnx one. self.workers = 1 self.batch_size = 192 self.onnx = os.path.join(main_path, "squeezenet1_1.onnx") self.batch_max_length = 25 self.imgH = 32 self.imgW = 100 self.rgb = False...
self.Transformation = 'None' ----- 原始邮件 ----- 发件人: "aisensiy" 收件人: "clovaai/deep-text-recognition-benchmark" 抄送: "Xuhua Ren" , "Mention" 发送时间: 星期四, 2020年 5 月 14日 下午 4:22:48 主题: Re: [clovaai/deep-text-recognition-benchmark] [Convert to onnx] (#76)...
sub_hidden = torch.unsqueeze(hidden[0], 1) output_hiddens = torch.cat((output_hiddens[:, :i, :], sub_hidden), dim=1) disable the TPS module. ----- 原始邮件 ----- 发件人: "cowyyy" 收件人: "clovaai/deep-text-recognition-benchmark" 抄送: "Xuhua Ren" , "Mention" 发送时间: 星期二, 2020年...
@LeonJWH @tkuanlun350 Thanks for your code, can you tell me how to change the loss? I double check the code again and again, I just modify the metric.py in rcnn...
> There are already nodes that support this: https://github.com/city96/ComfyUI_ExtraModels/tree/main we want to merge our code to comfyui main branch
这个comfyui插件不是我们官方的版本，请到相应的github仓库询问。
the released new version could load lora from khoyo, today.
have you replace the lora.py following readme On Wed, Jul 17, 2024 at 12:21 AM nikolaiusa ***@***.***> wrote: > but in the console there are errors as if the lora...