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Which Faster RCNN repo do you use during testing and validation #52
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Hi @HuAndrew , same question here. I am playing with this code recently and was also wondering about how did you generate the detection part. To be more specific, I am detecting humans from the COCO val 2017 keypoints images (5000 images) from the However, the size of the generated JSON is quite small compared with theirs (~1.3MB vs 16.4MB). Also, when I run Any suggestions? Thank you in advance :) |
I have the same question. Can you please share your detector or give a link to a similar one? |
👍 . Related papers keep mentioning of the "person detector used in Simple Baseline..." but it's nowhere to be found |
Well the author said 56.4 AP on person category. I have used Detectron's model . In End-to-End Faster & Mask R-CNN Baselines, the entry X-101-64x4d-FPN with 42.4 box AP can get 55.7 AP on person cat. I think this is competitive. |
@bearpaw @Odaimoko Hello, I test multi detector, like mask, cascade_RCNN , and the detector vis and other preds' results are as follows: vis samplespreds samples
Then
Welcome to Join pose forum www.ilovepose.com |
Evaluated using the Detectron2 repo:
https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md |
Hi, @leoxiaobin
Thanks for sharing your excellent work! It have very good results.I am curious about which your bounding box detector.
I evaluate your valided bbox results, it's get 56.8 performance in detection task, and I get 49.5 with maskrcnn detector. Would you give your refered codes or repo, and have you train faster RCNN codes?
Thanks a lot!
MaskRCNN
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