detect_TR_mask_rcnn_balloon.py

import os
from mmdet.apis import init_detector, inference_detector
import mmcv

# Specify the path to model config and checkpoint file
config_file = '/home/chen/OD/mmdet_tutorial/myconfigs/mask_rcnn_swin-t-p4-w7_fpn_1x_coco.py'
checkpoint_file = 'checkpoints/mask_rcnn/mask_rcnn_swin-t-p4-w7_fpn_1x_coco.pth'

# build the model from a config file and a checkpoint file
model = init_detector(config_file, checkpoint_file, device='cuda:0')


# test a single image and show the results
img = '/home/chen/OD/mmdet_tutorial/datasets/balloon/val/5603212091_2dfe16ea72_b.jpg'  # or img = mmcv.imread(img), which will only load it once
result = inference_detector(model, img)
# visualize the results in a new window
model.show_result(img, result,show=True)
# or save the visualization results to image files
#model.show_result(img, result, out_file='result.jpg')

# test a video and show the results
# video = mmcv.VideoReader('video.mp4')
# for frame in video:
#     result = inference_detector(model, frame)
#     model.show_result(frame, result, wait_time=1)