* optimize ocl kernel enqueue in fc layer
Signed-off-by: Li Peng <peng.li@intel.com>
* use CV_LOG_INFO in convolution auto tuning
Signed-off-by: Li Peng <peng.li@intel.com>
* update convolution IDLF kernel
extend parameter tuning range, also cleanup
ocl kernel implementation
Signed-off-by: Li Peng <peng.li@intel.com>
* update in-memory convolution cache config
fp16 and fp32 cache config are stored separately
Signed-off-by: Li Peng <peng.li@intel.com>
Synchronized reading from camera with heavy frame processing
provides bad effects (huge frame latency, processing frames from the past).
Generally, there is no way to process each frame and some frames will be dropped.
Allow preventive frame dropping to reduce lag of processed frames.
This mode is applied to cameras only (opened by 'index').
this enables the usage of current sensors, while dropping support for
legacy devices, see:
https://github.com/IntelRealSense/librealsense#overview
Given limited resources, and that the legacy sensors where not that
great, I think we should focus on v2.
dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649)
* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift
* add TEST to show the output mismatch in [DWconv+Prelu]
* fix typo
* change loading image to init cvMat directly
* build runtime model, without loading external model
* remove whitespace
* change way to create a cvmat
* add bias_term, add target output
* fix [dwconv + prelu] value mismatch when no optimizations
* fix Test error when change output channels
* add parametric test
* change num_output to group value
* change conv code and change test back
* Added ResizeBilinear op for tf
Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param).
Minor changes to tf_importer and resize layer to save some code lines
Minor changes in init.cpp
Minor changes in tf_importer.cpp
* Replaced implementation of a custom ResizeBilinear layer to all layers
* Use Mat::ptr. Replace interpolation flags