first commit

2022-11-26 01:27:19 -05:00
commit e20b2857ea
2 changed files with 8 additions and 0 deletions
@@ -0,0 +1,8 @@
 # Task
 1. Download ds_test.zip https://drive.google.com/file/d/1mIdJrdFeRkEfxHnkMU38z8Bn5JBt7YIK/view
 2. Unzip and annotate images of 3.5 present and 3.5 not present using makesense.ai.
 3. Put all the images and annotation files in one folder name it ‘obj’. Put obj folder in another folder name it ‘archive’. Zip the file
 4. Trained the model using copy_of_yolo.ipynb on the zip file u created
 5. Test the model using inference_on_CPU_using_trained_model_yolov3.ipynb
 6. Demo to us that it can filter when 3.5 drive is present or not by end of day