I created a model of Faster R-CNN and applied object detection to my images.
How large is the input size to Faster R-CNN when object detection is applied to images?
I set both "min_dimension" and "max_dimension" of "image_resizer {" in the config file to 768.
When I perform object detection, is the input size of images to Faster R-CNN automatically resized to this size?
The size of the images I prepared is 1920 x 1080 pixels, and I think it has been resized to 768 x 768 pixels.
I want to know more about this.
If anyone knows about this, please let me know.
The software installed on my PC is:
・OS : Ubuntu18.04 LTS
・Python : 3.6
・Tensorflow : 1.15
Hello!
I created a model of Faster R-CNN and applied object detection to my images. How large is the input size to Faster R-CNN when object detection is applied to images?
I set both "min_dimension" and "max_dimension" of "image_resizer {" in the config file to 768. When I perform object detection, is the input size of images to Faster R-CNN automatically resized to this size? The size of the images I prepared is 1920 x 1080 pixels, and I think it has been resized to 768 x 768 pixels. I want to know more about this.
If anyone knows about this, please let me know.
The software installed on my PC is: ・OS : Ubuntu18.04 LTS ・Python : 3.6 ・Tensorflow : 1.15
Thank you!