The difference of yolov4 is that sigmoid function needed to be applied
on x, y coordinates. Also make it compatiple with NHWC output as the
yolov4 model from openvino model zoo has NHWC output layout.
Model refer to: https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolo-v4-tf
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
Add yolov3 support. The difference of yolov3 is that it has multiple
outputs in different scale to perform better on both large and small
object.
The model detail refer to: https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolo-v3-tf
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
Add input pad to get model input resolution. Detection models always
have fixed input size. And the output coordinators are based on the
input resolution, so we need to get input size to map coordinators to
our real output frames.
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
Add multiple output support to openvino backend. You can use '&' to
split different output when you set output name using command line.
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
The libvmaf filter was doing substring checks in place of string equality
comparisons. This led to a bug when the user specified the pooling method
"harmonic_mean", since "mean" was checked first and the substring comparison
returned true. This patch changes all substring comparisons for string equality
comparisons. This is both correct and more efficient than the existing method.
Signed-off-by: nilfm <nilf@netflix.com>
The current logic for detecting frames that are too small for the
algorithm does not account for chroma sub-sampling, and so a sample
where the luma plane is large enough, but the chroma planes are not
will not be rejected. In that event, a heap overflow will occur.
This change adjusts the logic to consider the chroma planes and makes
the change to all three bwdif implementations.
Fixes#10688
Signed-off-by: Cosmin Stejerean <cosmin@cosmin.at>
Reviewed-by: Thomas Mundt <tmundt75@gmail.com>
Signed-off-by: Philip Langdale <philipl@overt.org>
Both qsv encoders and decoders use 4 as the default value of
async_depth, let's use 4 as the default value for vpp_qsv filter too.
Signed-off-by: Haihao Xiang <haihao.xiang@intel.com>
Fixes OOM when caller keeps adding frames into filtergraph
that reached EOF by other means, for example EOF is signalled
by other filter in filtergraph or by buffersink.
Fixes OOM when caller keeps adding frames into filtergraph
that reached EOF by other means, for example EOF is signalled
by other filter in filtergraph or by buffersink.
Add yolo support. Yolo model doesn't output final result. It outputs
candidate boxes, so we need post-process to remove overlap boxes to
get final results. Also, the box's coordinators relate to cell and
anchors, so we need these information to calculate boxes as well.
Model detail please refer to: https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolo-v2-tf
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
There are many kinds of detection DNN model and they have different
preprocess and postprocess methods. To support more models,
"model_type" option is added to help to choose preprocess and
postprocess function.
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
