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Hi, firstly thank you for your amazing work, I would like to use it to detect defects on complex surfaces, but no matter what weights(train_visa.pth or train_mvtec.pth) I use, the results are not good…
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Is the performance too bad? It takes 1 - 2 seconds to predict a image on GTX 1070 8G. Is there a plan to optimize performance and increase the speed of predicit?
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I'm really impressed with the results obtained so far.
I'm wondering if you plan to train and publish models but with higher input size?
I ask that because I see in `tasks/human_pose/experiments/` …
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After installing a Raspberry Picam on a RTOS Ubuntu 22 ARM64 Humble Raspberry Pi 4, using camera_ros from github, rqt_image_view did successfully show images to a remote desktop.
After considerabl…
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Hi @anDoer,
Thank you for adapting the HOTA for keypoint tracking. I would like to bring to your notice about possible error in computing the False positives in images where there is no GT.
In l…
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Hello,jaybdub.
Thanks for you code.
I try to use trt model in 1080ti GPU and test the estimation result, but after `counts, objects, peaks = parse_objects(cmap, paf)` , The counts is [0] . …
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hello author,
when i tested your weights, it gives good results, but even when some face parts or not visible, the model still predicts output(for example when i cover my eyes or nose) why is that,…
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this code:
```
coco_dt = coco_gt.loadRes(coco_results)
print('result loaded.')
coco_eval = COCOeval(coco_gt, coco_dt, iou_type)
# Use the COCO default keypoint OKS sigmas unless ove…
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Hello,
I'm building an application for which I'd like to be able to switch between an OAK-D S2 and a standard, laptop integrated webcam.
It is my understanding that it should possible (at the cost…