Tianyu Zhang
Tianyu Zhang
# OS information and hardware information Device name DESKTOP-0C3Q24O Processor AMD Ryzen 9 7900X 12-Core Processor 4.70 GHz Installed RAM 64.0 GB (63.2 GB usable) OS Windows 11 Graphic Card...
The colab env is now py310 and ai-economist is not compatible for it. I switch the colab notebooks python env to py37.
There is a bug. The generated seq is always one digit less than the expected seq. To fix this, I made `max_len = max_length + 1`. Besides, does anyone know...
It shows  but when I click on "Open in Overleaf", nothing happened. If I use Chrome, it works fine. It was functional well on Edge.
`self._model_backend = 'onnx'` at [here](https://github.com/breezedeus/CnSTD/blob/master/cnstd/ppocr/pp_detector.py#L67) It seems that the det_model_backend setting will be overrided. Even if you set `det_model_backend='pytorch'`, it still going to use the 'onnx'.
The simulation data here is 19K (11K urban+8.8K suburban). I guess the performance of these two are similar. Please find the links of the experiments below: pretrained: https://www.comet.ml/tianyu-z/advent-ccai/1e62883c43814d40b9da12e13970bacf non-pretrained: https://www.comet.ml/tianyu-z/advent-ccai/b9b25cbeb47843dda48f4ce593797b66...
I transformed the segmentation map of Cityscapes Validation Datasets (frankfurt, lindau, and munster) into Mask images (by changing the value of the road, sidewalks... to 255 and the rest to...
Sorry for the stupid question. I don't have the computational power to really run the code but I want to study the code and get the logic. Correct me if...