This gist holds the model spec for the baseline CNN model on the WIDER dataset.
The CNN structure is AlexNet. Network parameters are initialized using a model pretrained on ImageNet.
The weights can be downloaded at
cuhk_wider_baseline_cnn.caffemodel
Please refer to
| __author__ = 'Yuanjun Xiong' | |
| """ | |
| This script will transform an image based Caffe model to its optic flow ready form | |
| The basic approach is to average the three channels of the first set of convolution filters. | |
| Averaged filters are then replicated K times to incorporate K input frames of optical flow maps. | |
| Refer to "Towards Good Practices for Very Deep Two-Stream ConvNets" for more details. | |
| ====================================================================== | |
| Usage: | |
| python build_flow_network.py <caffe root> <first layer name> <image model prototxt> <image model weights> <flow model prototxt> <flow model weights[out]> |
To use OpenCV's VideoWriter class to write an H264 encoded video, one would encounter some error like
Could not open codec libx264: unspecified error
Here is the trick. Beforehand, one has to make sure
--enable-libx264 is switched on in ffmpeg| version="2.4.12" | |
| echo "Installing OpenCV" $version | |
| mkdir OpenCV | |
| cd OpenCV | |
| echo "Removing any pre-installed ffmpeg and x264" | |
| sudo apt-get -qq remove ffmpeg x264 libx264-dev | |
| echo "Installing Dependenices" |
| """ | |
| Light weight head pose estimation with SolvePnP | |
| Author: Yuanjun Xiong | |
| """ | |
| # parameters | |
| fx = 1 | |
| # model points |