Face Detection Using OpenCV with CUDA GPU Acceleration | Images, Videos

[@TheCodingBug]

► My Other Tutorials: Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10 kzbin.info/www/bejne/j6TQmX6Xp52ihcU YOLOv4 On Android Using TFLite kzbin.info/www/bejne/j6ukm3SJa7SmbsU Custom YOLOv4 Object Detection with TensorFlow and TFLite kzbin.info/www/bejne/rKu3dH2DZp2opa8 Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet) kzbin.info/www/bejne/Y3-oc2iGYrh_n5I Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset) kzbin.info/www/bejne/qXynqqaEqdObgJY YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT kzbin.info/www/bejne/qnTQdGqkrst9ppo Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams kzbin.info/www/bejne/fHaVeHWbgNqkpsU Real Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux kzbin.info/www/bejne/fJvcd2NpqsaqqaM Build and Install OpenCV 4.4.0 with CUDA (GPU) Support on Windows 10 kzbin.info/www/bejne/qpu7nIpmYpmag6c Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6 kzbin.info/www/bejne/hp26aq13nJmWrpo Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows kzbin.info/www/bejne/fZLKenxrhaaYgck

[@TizerBiZer]

DNN module was not built with CUDA backend; switching to CPU

[@TheCodingBug]

You need to build opencv from source with GPU support.

[@pizzalover8530]

does this need setup such as configuring your project with cmake?

[@TheCodingBug]

If you want to use GPU, yes it does. For CPU, it doesn't require any configuration.

[@jorgeluv91]

This is so great. Your quick and very well explained tutorial is great.Thanks. i used your Class and expanded it to motorize the camera, so i chase the detection on a Jetson Nano 2gb. Any good tutorial for face Recognition Cuda acelerated?

[@TheCodingBug]

Thank you for the appreciation. I have planned to make face recognition tutorial with GPU acceleration but it's scheduled for April.

[@nghiadaihiep]

hello help me AttributeError: 'detector' object has no attribute 'faceModel'

[@amadeus71]

It worked fine with a video-file, but not when I tested with my webcam. I got lower fps with GPU than CPU. CPU = 29fps, GPU = 25fps Could it be my graphics card? GTX970?

[@TheCodingBug]

Yes. This graphics card isn't powerful enough. And for webcam, you just need to pass 0 as video path.

[@MrPusmucans]

Your webcam give that low fps not a gpu or cpu

[@stevesmith-by9yi]

I have made a face recognition module in python. Now I want to use nvidia GPU GTX 1070. I have made a virtual env in anaconda with tensorflow, cuda and cudnn installed in it. Can I run my same code from anaconda or do I need to add some cuda code in it to enable training on gpu?

[@TheCodingBug]

No CUDA code is required. If everything is installed properly, TensorFlow will use CUDA automatically.

[@kushalkumarrajak8790]

I am trying this same at my ubuntu system but not able to build opencv for cuda can you please help....

[@anto__729]

Hi!! does it work just with faces or with other objects? (cars, bycicles, etc)... Thanks, great tutorial!!

[@TheCodingBug]

It's just for faces. For common objects, you can check our yolov4 tutorials.

Hi dear. Is possible make operations like segmentation, apply filters or any other technique of image processing but using the GPU? is possible it? I want to accelerate this process, is possible it or only this techniques are doing by using the CPU?. Thanks so much.

[@TheCodingBug]

It is possible to use few CV operations on GPU such as applying filters or background segmentation. I will be making a complete tutorial on all GPU based operations using OpenCV next month.

@@TheCodingBug Thanks bro I will stay tuned.

[@taqikhan5418]

Please make video on face recognition also. Thanks

[@TheCodingBug]

Sure. I will at the end of this month.

[@taqikhan5418]

@@TheCodingBug Thanks. I will be waiting for that

[@germancruz6618]

Has anyone compiled opencv for Geforce RTX 4000 generation GPUs?