Aaron Cofield

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I can confirm adding `#include ` fixes the build in ubuntu 16.04.

Also I installed the latest canary build as of august 2nd 11:53am using install from disk in clion

I'm no longer working with open3d

Yes, I'd like to contribute if I can. I did not know the project was active again.

Sure, should I submit a pull request to the dev branch with the file in the root directory? or just post it here

I think it will be easiest to use the YOLO classifier that's built into opencv, to ensure maximum compatibility. If we test another better performing classifier later on that may...

@derneuere ![image](https://user-images.githubusercontent.com/9437975/104514204-df187000-55be-11eb-92b7-021b7f3ff3f8.png) ![image](https://user-images.githubusercontent.com/9437975/104514247-ee97b900-55be-11eb-8764-57b2489cd5bc.png) testing yolov4 w/ opencv. Hows this? Also these are the class names that can be detected: https://raw.githubusercontent.com/hhk7734/tensorflow-yolov4/master/test/dataset/coco.names

Just basing my implementation on this gist https://gist.github.com/YashasSamaga/e2b19a6807a13046e399f4bc3cca3a49

![image](https://user-images.githubusercontent.com/9437975/104514946-18051480-55c0-11eb-917f-fe7571a16451.png) ![image](https://user-images.githubusercontent.com/9437975/104514960-1d625f00-55c0-11eb-9bb3-eba3811dfb4e.png)

Just tried that and the model will not initialize using cv2.dnn_DetectionModel class