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NaturalIntelligence / imglab

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Speed up labeling

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TheDeathConqueror
TheDeathConqueror commented Aug 19, 2019

I found a new tool makesense who is trying to do the same thing that you're already doing. Probably with some new thoughts in mind. I recently asked the author how that tool is doing differently: SkalskiP/make-sense#23

The author responded that we need multiple clicks while labeling in imglab. Though I didn't understand it well as I can control most of the things with

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feature-request good first issue
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mmpose

open-mmlab / mmpose

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Multiple samples per GPU while testing

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MaxHuerlimann
MaxHuerlimann commented Sep 3, 2020

Hi everybody

Currently only one sample per GPU is possible while executing tests, which leads to very slow validation and testing for me. I assume to fix this the forward_test methods for the TopDown and BottomUp classes would need to be updated. Is this planned anytime soon or should I give it a try myself to contribute?

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enhancement good first issue

RubensZimbres / Repo-2018

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Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

raspberry-pi opencv iot computer-vision tensorflow keras coco aws-ec2 ec2-instance aws-iot opencv-library generative-adversarial-networks raspberry-pi-3 opencv3 cyclegan haarcascade sagemaker yolo-model ubuntucore aws-sagemaker
  • Updated Sep 21, 2020
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