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Author: zeyu

1. Select the RS folder as the opened folder. 2. Choose the bands to display. 3. Annotate samples — they will be saved automatically. You can stretch the image to optimize display. 4. Export the shapefile, which can automatically detect the current image’s coordinate system or use a user-specified reference image. 5. Export the shapefile, […]

How to Use the “Wildlife Detection Model” https://ai.zeyuxu.com/#annotation-online This is an AI-assisted online annotation tool specifically designed for wildlife detection. The tool provides a user-friendly interface for creating, editing, and managing bounding box annotations on images. Here are its key features: 1. Image Handling: 2. Annotation Capabilities: 3. Box Management: 4. Advanced Features: 5. User Interface: The tool is particularly suited for wildlife researchers and data scientists working on wildlife detection projects, offering a balance between […]

How to Use the “Large Image Detection” https://ai.zeyuxu.com/#detection2 The Large Image Detection system is an advanced solution designed specifically for processing high-resolution wildlife imagery that exceeds standard dimensions (>512×512 pixels). This sophisticated tool employs a sliding window approach to analyze large-scale aerial photographs or landscape images while maintaining detection accuracy across the entire frame. The system features a comprehensive set of interactive controls including zoom in/out capabilities, directional panning (up, down, left, right), and a reset […]

How to Use the “Wildlife Detection Model” https://ai.zeyuxu.com/#detection The Basic Detection Model is a streamlined wildlife detection system optimized for standard-sized images (512×512 pixels). It excels at rapid identification of five distinct wildlife categories: White-eared Kob, Mongalla Gazelle, Tiang, Reedbuck, and other wildlife species. Each detection is visually represented with color-coded bounding boxes – red for White-eared Kob, green for Mongalla Gazelle, cyan for Tiang, pink for Reedbuck, […]

1、Determine if the folder exists, and if it does not exist, create. import osif not os.path.exists(path):os.mkdir(path) 2、Traversing folders with files in a specific format. import osimport fnmatchimg_list = fnmatch.filter(os.listdir(path), '*.png')for img in img_list :…… 3、Rename the file. import osos.rename(Old_Dir,New_Dir) 4、Path connection. import osNew_Dir=os.path.join(path,filestr,filetype) 5、Copy files. import shutilshutil.copy(Old_Dir, New_Dir) 6、Replace the suffix name jpg_img=files[:-4]+".jpg" 7、Replace characters […]