In the target detection task, after the image data is enhanced, how to modify the corresponding label, implemented in Python - Code World

In the target detection task, after the image data is enhanced, how to modify the corresponding label, implemented in Python

Enterprise 2023-09-30 04:22:31 views: null

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In the target detection task, after the image data is enhanced, how to modify the corresponding label, implemented in Python

Target Detection - Enhanced Data Study Notes

Dividing the data set into target detection label boundingbox

In the data enhancement of the target detection task dataset, the image is vertically flipped and the coordinates of the xml annotation file are adjusted

In the data enhancement of the target detection task dataset, the image is horizontally flipped and the coordinates of the xml annotation file are adjusted

python tool method 44 data simulation generation (paste target slices to the background image, data label verification)

After segmentation, the mask image data is converted into the json format corresponding to coco

3D target detection dataset KITTI (label format analysis, point cloud to image, point cloud to BEV)

Deep Learning (Object Detection)---Evaluation Method for Multi-label Image Classification Task-mAP

Use the infrared-visible light image data set OTCBVS to connect image fusion, target detection and target tracking

How to update list data into corresponding dataframe in python

After the camera takes the image, it converts the data into the corresponding image processing library image file.

[Target Detection] Modify the image file name and xml file name synchronously in batches

Target detection label format conversion (horizontal frame)

Target edge detection in image processing

Target detection label assignment: A Dual Weighting Label Assignment Scheme

How to set site of the target population and the corresponding keywords

Target Detection - Production data set

Target detection-PIL, OpenCV and numpy represent the mutual conversion of image data formats

Data labeling for PaddleDetect image target detection model training - using labelme for labeling

Practical tutorial｜Use Stable Diffusion image repair to generate your own target detection data set

Target detection-data structure of Xiahou Nanxi target detection model

[Target detection] YOLOv5: label Chinese display / custom color

Target detection label format conversion - YOLO format to JSON format

[Target Detection] Large images include label segmentation and converted into txt format

OpenCV (four) - image features and target detection

YOLOv8 target detection and image cropping

Implemented image recognition 101000 Food image (data acquisition and processing) -python-tensorflow frame

[Reading notes for target detection papers] Feature-Enhanced CenterNet for Small Object Detection in Remote Sensing Images

Use this Python library, 10 lines of code to get the target detection in the image (with project)

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