From e49affab242a55e96102dafe5025e71ba8cc6edf Mon Sep 17 00:00:00 2001 From: xyupeng <99191637+xyupeng@users.noreply.github.com> Date: Wed, 24 Apr 2024 15:56:22 +0800 Subject: [PATCH] Dev/pxy (#73) * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scoring/matching * update scene_cut * update scene_cut * update scene_cut[A * update scene_cut * update scene_cut * update scene_cut * update scene_cut * update scene_cut * update scene_cut * m * m * m * m * m * m * m * m * m * m * m * m * m * m * update readme * update readme * extract frames using opencv everywhere * extract frames using opencv everywhere * extract frames using opencv everywhere * filter panda10m * filter panda10m * m * m * m * m * m * m * m * m * m * m * m * m * m * m * m * m * m * ocr * add ocr * add main.sh * add ocr * add ocr * add ocr * add ocr * add ocr * add ocr * update scene_cut * update remove main.sh * update scoring * update scoring * update scoring * update README * update readme * update scene_cut * update readme * update scoring * update readme * update readme * update filter_panda10m * update readme * update readme * update launch.ipynb * update scene_cut * update scene_cut * update readme * update launch.ipynb * update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 04cbe08..ab00ee4 100644 --- a/README.md +++ b/README.md @@ -250,7 +250,7 @@ To lower the memory usage, set a smaller `vae.micro_batch_size` in the config (s High-quality data is crucial for training good generation models. To this end, we establish a complete pipeline for data processing, which could seamlessly convert raw videos to high-quality video-text pairs. The pipeline is shown below. For detailed information, please refer to [data processing](docs/data_processing.md). -Also check out the [datasets](docs/data_processing.md) we use. +Also check out the [datasets](docs/datasets.md) we use. ![Data Processing Pipeline](assets/readme/report_data_pipeline.png)