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Revise/improve Text & Digit Recognition Samples

Student: Zihao Mu

Mentor: Vladimir Tyan

Link to accomplished work:

• Merged PR: opencv/pull/17675
• Multiple text recognition models for OpenCV DNN: Shared model link
• Train your own text recognition model for OpenCV : deep-text-recognition-benchmark

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Loop closure algorithm based on HF-Net for depth fusion

Student: Zihao Mu

Mentor: Rostislav Vasilikhin

Link to accomplished work:

• Merged PR: opencv_contrib/pull/3002;

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//#define CV_8U   0
//#define CV_8S   1
//#define CV_16U  2
//#define CV_16S  3
//#define CV_32S  4
//#define CV_32F  5
//#define CV_64F  6
//#define CV_16F  7
void printblob(InputArray blob_) {
    Mat blob = blob_.getMat();

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Compiling OpenCV with TIM-VX backend

OpenCV with TIM-VX is developped to run deep learning models on NPUs (on Khadas VIM3 etc.) using OpenCV with TIM-VX integrated. Code is under review at opencv/opencv#21036. Inference performance on the NPU on Khadas VIM3 can be found in OpenCV Zoo: https://github.com/opencv/opencv_zoo#models--benchmark-results.

We provide two ways compiling OpenCV with TIM-VX backend:

• (Recommanded) Compile OpenCV together with TIM-VX.
• Compile OpenCV with TIM-VX library installed previously.

Requirements

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cmake_minimum_required(VERSION 3.22)
project(testOrbbecDevice)

set(CMAKE_CXX_STANDARD 14)

set(OpenCV_DIR "/opencv/build")
find_package(OpenCV REQUIRED)
include_directories(
        ${PROJECT_SOURCE_DIR}/
        ${OpenCV_INCLUDE_DIRS}