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I am trying to exam how can I finetune the model with the dataset. As described in the fine-tuning page, I have the data downloaded in format of json coco standard.
and the file is ./YOLO-World/data/train/_annotations.coco.json
images are saved under ./YOLO-World/data/train
as mentioned
but I am confused about how can I link the data to the actual fine tunning? should I create something like /home/z-linuxc/Documents/Sportlens/YOLO-World/configs/finetune_coco/yolo_world_v2_s_vlpan_bn_2e-4_80e_8gpus_mask-refine_finetune_coco.py ?
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I am trying to exam how can I finetune the model with the dataset. As described in the fine-tuning page, I have the data downloaded in format of json coco standard.
and the file is ./YOLO-World/data/train/_annotations.coco.json
images are saved under ./YOLO-World/data/train
as mentioned
CONFIG='../../third_party/mmyolo/configs/yolov8/yolov8_l_mask-refine_syncbn_fast_8xb16-500e_coco.py'
GPUS='1'
but I am confused about how can I link the data to the actual fine tunning? should I create something like /home/z-linuxc/Documents/Sportlens/YOLO-World/configs/finetune_coco/yolo_world_v2_s_vlpan_bn_2e-4_80e_8gpus_mask-refine_finetune_coco.py ?
Please give more explanation please 🙏
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