markusbr

Stabilization? Have you tried to use a Kalman filter?

Excuse me, can you rephrase your question, please? Can you describe what you see, what you have expected instead? Which application do you use, how have you called it, which...

Cannot comment on the age-network's precision or what material was used for training, whether it used "representative" images, including Asian faces of women in different ages... Can you try other...

You might contact "https://github.com/GilLevi/AgeGenderDeepLearning" and check "https://talhassner.github.io/home/publication/2015_CVPR" for which material was used to train the model. It could mean that the selected data is not representative enough.

Can you share with us where you have found the link, which document, which sample, which readme, please? Have you tried to download from alternative links, e.g. https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe-models/blob/master/caffe_models/openpose/caffe_model/pose_iter_440000.caffemodel ?

You might want to create an issue under ´https://github.com/ultralytics/yolov5´ and ask there for explanations.

Can you provide more details about your model, please? You are based on a YoloV5s model, but retrained it? Can you describe your code, please? Do you use the example...

Are you talking about the sample `Object-Detection-using-YOLOv5-and-OpenCV-DNN-in-CPP-and-Python/yolov5.cpp`? It did not even compile for me, needed to adapt line 168 to make a separate copy/clone, as the method `post_process()`expects a non-const-reference....

Sorry! I was using OpenCV in version 4.5.3 (from an OpenVINO v2021.4.2). Using a Python virtual-env, now I'm using v4.5.5 and see the Python version "yolov5.py" working. I cloned opencv...

Just follow the original example from here: "https://github.com/spmallick/learnopencv/tree/master/YOLOv3-Training-Snowman-Detector" which includes downloading a pre-trained model - but then running the training. After that you have the weights-file locally on your machine.