NeighborhoodCoding

아 감사합니다... 일단 저는 거의 케라스밖에 못쓰고 있거든요. 저는 OCR을 만들고 있는데 저는 위키피디아를 랜덤 크롤링하거나 AI-hub의 JSON을 이용해서 train data와 labeling하는 recognizer를 만들고 있고 detector(감지)는 Clova-AI꺼를 그대로 쓰고 있습니다....

This error occurs because code expects a more recent FFmpeg API, including definitions like AVBSFContext, which may not exist in older versions of FFmpeg.

Android and Python are different OSes and the code is not the same. This means that even pytorch, for example, is not 100% compatible between android and python, and the...

Simply calling del reader may not reliably clean up resources on Linux. Instead: Set reader = None after reading frames. Call gc.collect() to prompt Python’s garbage collector to free memory....

Decord can be installed and used in Google Colab Installation pip install decord Usage from decord import VideoReader, cpu vr = VideoReader("video.mp4", ctx=cpu(0)) frames = vr.get_batch(range(0, 10)) PyAV Comparison pip...

Which version of cuDNN did you use?

Is this an issue with Pytorch video? Can you describe the issue more clearly?

You may check model size, above 200MB, I have memory crash error, it work wrong. Also downgrading the torch may help. The app source and API may change when the...

Also, I think this solution may help to build real-time your app. https://pytorchvideo.org/docs/tutorial_accelerator_build_your_model

There are slight difference from mobile devices, but try this: ``` seed=2023 random.seed(seed) numpy.random.seed(seed) torch.manual_seed(seed) if torch.cuda.is_available(): torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) # all gpus torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True torch.use_deterministic_algorithms(True) torch.set_default_tensor_type(torch.float32)...