Model Samples - 2.0 English

Currently, 45 model samples are located in ~/Vitis-AI/demo/Vitis-AI-Library/samples. Each sample has the following four kinds of test samples:

• test_jpeg_[model type]
• test_video_[model type]
• test_performance_[model type]
• test_accuracy_[model type]

Take YOLOv3 as an example.

1. Before you run the YOLOv3 detection example, you can choose one of the following yolov3 models to run:
   1. yolov3_bdd
   2. yolov3_voc
   3. yolov3_voc_tf
2. Ensure that the following test programs exists:
   1. test_jpeg_yolov3
   2. test_video_yolov3
   3. test_performance_yolov3
   4. test_accuracy_yolov3_bdd
   5. test_accuracy_yolov3_adas_pruned_0_9
   6. test_accuracy_yolov3_voc
   7. test_accuracy_yolov3_voc_tf

   If the executable program does not exist, you have to cross-compile it on the host and then copy the executable program to the target.

3. To test the image data, execute the following command:

   #./test_jpeg_yolov3 yolov3_bdd sample_yolov3.jpg

   The result is printed on the terminal. Also, you can view the output image: sample_yolov3_result.jpg.

4. To test the video data, execute the following command:

   #./test_video_yolov3 yolov3_bdd video_input.mp4 -t 8

5. To test the model performance, execute the following command:

   #./test_performance_yolov3 yolov3_bdd test_performance_yolov3.list -t 8

   The result is printed on the terminal.
6. To test the model accuracy, prepare your image dataset, image list file, and the ground truth of the images. Then execute the following command:

   #./test_accuracy_yolov3_bdd [image_list_file] [output_file]

After the output_file is generated, a script file is needed to automatically compare the results. Finally, the accuracy result can be obtained.