BZNR3/coco-pose-weather-edits

# COCO Pose Weather Edits This upload package describes the local outputs for COCO pose-oriented weather editing generated with ControlNet. ## Local Source Data - COCO subset: `/data2/baoming/coco2017/train1500_pose` - Snow outputs: `/data2/baoming/controlnet/generated_coco_train1500_snow` - Rain outputs: `/data2/baoming/controlnet/generated_coco_train1500_rain` ## Intended Hugging Face Layout - `train1500_pose/` - `generated_coco_train1500_snow/` - `generated_coco_train1500_rain/` - `README.md` `train1500_pose/` contains: - `images/`: the selected 1500-image subset - `person_keypoints_train2017_1500.json`: filtered pose annotations - `train1500_attrs.json`: image-level attribute mapping used to guide prompt construction Each generated directory contains: - `outputs/`: edited images - `controls/`: ControlNet canny control maps - `sample_1500_meta.json`: per-image prompt and generation metadata - `logs/run.jsonl`: generation status log ## Counts - `train1500_pose/images`: 1500 images - `generated_coco_train1500_snow/outputs`: 1500 images - `generated_coco_train1500_rain/outputs`: 1500 images ## Notes - The subset is sampled from the first 20000 valid COCO `train2017` person-keypoint images covered by the BLIP/Gemini attribute file. - Prompt construction preserves person count, placement, and body pose while editing weather conditions.