Use 3D ResNets to classify images (videos).
[Instructions]
1. 1_convert_avi_to_jpg.ipynb
Convert video (avi) to image (jpg).
2. 2_generate_annotation.ipynb
Generate annotated files of the image.
3. 3_train.ipynb
Setting parameters:
• root_path: the path of the training folder
• video_path: the file path of the training image
• annotation_path: the file path of the annotation
• result_path: the folder path of the result
After the setting is completed, it can be executed.
4. 4_inference_val.ipynb
Setting parameters:
• root_path: the path of the training folder
• video_path: the file path of the training image
• annotation_path: the file path of the annotation
• result_path: the folder path of the result
• resume_path: the path of the inference model
After the setting is completed, it can be executed.
After execution, you can see the results of 3D ResNets inference.
This SDK is built in AppForAI - AI Dev Tools.
Purchase license separately: USD 600, permanent authorization, single APP authorization, single machine authorization, one-year activation, one-year download, one-year update, one-year email technical support.