Comments (1)
Hello @ModarD , detect_face
function actually applies SSD object detection model on the input image. It will detect all the occurrences of the object (in this case face). I am not sure if we can limit the detection to one. We can choose not to process the detection further (avoiding drawing rectangles etc).
If you are looking for a lighter face detection method, you can use haarcascades. But again they work mostly for frontal faces and the accuracy can be low. If you are using pre-compiled opencv-python package, I would suggest to compile opencv from source with optimizations enabled for your platform (OpenCL, SSE, Intel Math Kernel etc) also take a look at the different backends / targets available in DNN module.
from cvlib.
Related Issues (20)
- object Detection color HOT 2
- is there anyway i can detect house in the image HOT 1
- The 'cvlib' distribution was not found and is required by the application in PyInstaller HOT 2
- What dataset have you used to make face detector part of this model? HOT 1
- Count objects detected using cvlib HOT 2
- ModuleNotFoundError HOT 3
- draw_bbox() Line size is fixed at a value of 2 pixels HOT 1
- No face detected in image HOT 1
- The recognition rate of pictures taken by wide-angle lens is low
- yolov4 HOT 4
- Invalid bounding boxes returned occasionally HOT 1
- Is there a way of using face recognition?
- How to add text as object to be detected
- Live Face Detect
- Unable to execute object_detection HOT 7
- library not working
- About Error invalid index to scalar variable in object_detection.py HOT 1
- Add requirements.txt
- 'str' object has no attribute 'shape' HOT 13
- This module is officially broken now with any of the latest python versions, eg python version higher than 3.9 HOT 2
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from cvlib.