ageitgey / ageitgey/face_recognition
Face Recognition CNN only uses 1940 MB of GPU memory on RTX 2080 Ti
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Description
- face_recognition version: 1.2.3
- Python version:3.6.8
- Operating System: Ubuntu 18.04
HI, i have an Logitech c920 on a resolution of 1080P, and i have an RTX 2080 Ti with 11 GB of GPU memory, but i run the cnn version of face_recognition on cv2.VideoCapture in 1920x1080 (Webcam Full Resolution) and is a quite slow, the process only uses 1940 mb of 11000 mb. I am trying to use 1080p resolution and push all the power of the GPU
I Already compile dlib with CUDA, and i already try one example of multiprocessing and nothing change.
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Research direction
Start by reviewing the reported face_recognition CNN usage with cv2.VideoCapture at 1920x1080 and the attempted dlib CUDA build. Reproduce the GPU-memory and speed observations before determining whether the limitation is in video processing, CNN inference, or configuration. The issue does not define a specific code change or a clear completion test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100