File: table_of_content_dnn.markdown

package info (click to toggle)
opencv 4.6.0%2Bdfsg-12
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 276,172 kB
  • sloc: cpp: 1,079,020; xml: 682,526; python: 43,885; lisp: 30,943; java: 25,642; ansic: 7,968; javascript: 5,956; objc: 2,039; sh: 1,017; cs: 601; perl: 494; makefile: 179
file content (25 lines) | stat: -rw-r--r-- 1,103 bytes parent folder | download 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
 
Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
=====================================

-   @subpage tutorial_dnn_googlenet
-   @subpage tutorial_dnn_halide
-   @subpage tutorial_dnn_halide_scheduling
-   @subpage tutorial_dnn_android
-   @subpage tutorial_dnn_yolo
-   @subpage tutorial_dnn_javascript
-   @subpage tutorial_dnn_custom_layers
-   @subpage tutorial_dnn_OCR
-   @subpage tutorial_dnn_text_spotting
-   @subpage tutorial_dnn_face

#### PyTorch models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection PyTorch DNN models with OpenCV.
-   @subpage pytorch_cls_tutorial_dnn_conversion
-   @subpage pytorch_cls_c_tutorial_dnn_conversion
-   @subpage pytorch_segm_tutorial_dnn_conversion

#### TensorFlow models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection TensorFlow DNN models with OpenCV.
-   @subpage tf_cls_tutorial_dnn_conversion
-   @subpage tf_det_tutorial_dnn_conversion
-   @subpage tf_segm_tutorial_dnn_conversion