third_party/opencv

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Dmitry Kurtaev f87a0dd6a7 Fix minimal aspect ratio scale for SSDs from TensorFlow

2018-03-28 12:57:06 +03:00

..

Misc. ./samples typos

2018-02-08 05:52:08 -05:00

classification.cpp

Semantic segmentation sample.

2018-03-08 11:02:26 +03:00

classification.py

Update tutorials. A new cv::dnn::readNet function

2018-03-04 20:30:22 +03:00

CMakeLists.txt

cmake: refactored scripts with samples building:

2018-02-12 18:42:36 +03:00

colorization.cpp

Minor refactoring in several C++ samples:

2018-03-06 14:23:20 +03:00

colorization.py

Merge pull request #10777 from berak:dnn_colorize_cpp

2018-02-05 15:07:40 +03:00

fast_neural_style.py

Layers for fast-neural-style models: https://github.com/jcjohnson/fast-neural-style

2017-10-27 14:26:45 +03:00

js_face_recognition.html

Test for FP16 version of OpenCV face detection network

2018-02-06 13:16:07 +03:00

mobilenet_ssd_accuracy.py

Specific version of MobileNet-SSD from TensorFlow

2017-11-24 13:40:35 +03:00

object_detection.cpp

Semantic segmentation sample.

2018-03-08 11:02:26 +03:00

object_detection.py

Update tutorials. A new cv::dnn::readNet function

2018-03-04 20:30:22 +03:00

openpose.cpp

dnn: add an openpose.cpp sample

2018-03-16 19:36:45 +01:00

openpose.py

fixed samples/dnn/openpose.py

2018-03-15 05:17:57 +09:00

README.md

Semantic segmentation sample.

2018-03-08 11:02:26 +03:00

segmentation.cpp

Semantic segmentation sample.

2018-03-08 11:02:26 +03:00

segmentation.py

Semantic segmentation sample.

2018-03-08 11:02:26 +03:00

shrink_tf_graph_weights.py

Text TensorFlow graphs parsing. MobileNet-SSD for 90 classes.

2017-10-08 22:25:29 +03:00

tf_text_graph_ssd.py

Fix minimal aspect ratio scale for SSDs from TensorFlow

2018-03-28 12:57:06 +03:00

README.md

OpenCV deep learning module samples

Model Zoo

Object detection

Model	Scale	Size WxH	Mean subtraction	Channels order
MobileNet-SSD, Caffe	`0.00784 (2/255)`	`300x300`	`127.5 127.5 127.5`	BGR
OpenCV face detector	`1.0`	`300x300`	`104 177 123`	BGR
SSDs from TensorFlow	`0.00784 (2/255)`	`300x300`	`127.5 127.5 127.5`	RGB
YOLO	`0.00392 (1/255)`	`416x416`	`0 0 0`	RGB
VGG16-SSD	`1.0`	`300x300`	`104 117 123`	BGR
Faster-RCNN	`1.0`	`800x600`	`102.9801, 115.9465, 122.7717`	BGR
R-FCN	`1.0`	`800x600`	`102.9801 115.9465 122.7717`	BGR

Classification

Model	Scale	Size WxH	Mean subtraction	Channels order
GoogLeNet	`1.0`	`224x224`	`104 117 123`	BGR
SqueezeNet	`1.0`	`227x227`	`0 0 0`	BGR

Semantic segmentation

Model	Scale	Size WxH	Mean subtraction	Channels order
ENet	`0.00392 (1/255)`	`1024x512`	`0 0 0`	RGB
FCN8s	`1.0`	`500x500`	`0 0 0`	BGR

References