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Hey!
I've been trying square resolutions divisible by 64x64 (divisibility by 32 was not always enough for error-free conversion).
I'm doing this **both for maskrcnn with coco weights, as well as c…
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When I try to rin getANNO file I get following error in OCTAVE, how can i solve this? I tried adding path of getANNO.cpp and gason.cpp in gason.m but still the error persists.
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`mkoctfile: unr…
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Thanks for your code, I'm trying to convert the keypooints.json file to Yolo format using your code in colab. The code runs fine and creating a new folder with images, labels but yolo format labels ar…
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![image](https://github.com/AILab-CVC/YOLO-World/assets/18739352/eb7362cc-cead-42cc-a596-ff4d9dfc905e)
ERROR: input_onnx_file_path: work_dirs/yolo_world_v2_s_vlpan_bn_2e-4_80e_8gpus_mask-refine_finet…
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Hi,
I was able to successfully train and test on PASCAL VOC dataset from scratch and score accuracy of Mean AP@0.5 = 65.5%. Next, I want to conduct FCIS training on my own dataset, however the objec…
ogail updated
5 years ago
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Hello everyone,
I'm converting binary masks created from exported COCO Annotator JSON files. From a JSON file, I generate binary masks using `cv2.fillPoly` and process them. This results in more ma…
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Hi,
I am trying to train for coco2014 dataset. (I just followed this repo's training example)
I put coco dataset on
home/mson/download/Mask_RCNN/coco/train2014/(image files..)
home/mson…
msson updated
2 years ago
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As I can only download the 2017 coco dataset not 2014 case. In .libs/datasets/download_and_convert.py I change 'train2014' and 'val2014' to 'train2017' and 'val2017'; download "instance-valminusminiva…
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convert YOLO (darknet) datasets into JSON format