Hi, i currently have a frcnn tlt model (ver 3.0) for object detection. The training images that i currently have are of 1920x1080 resolution but i would like to resize them to 960x540 resolution by setting the output_image_width variable to be 960, output_image_height to be 540 and enable_auto_resize to be True. ( to reduce the size of the model). So currently i have three questions:
for the height and width vairable under the size_hieght_width config, i still set it as 1080 and 1920 respectively am i right?
When calculating for the anchor shapes (under anchor_box_config) to be generated, do i calculate for the resized image(960x540) or for current resolution of image (1920x1080)?
When reducing the size of the model, does it affect the model’s accuracy/performance in detecting the object?
I look forward to your reply, thank you :)