| import argparse |
| import multiprocessing as mp |
| import os |
| import time |
| import cv2 |
| import tqdm |
| import sys |
|
|
| from detectron2.config import get_cfg |
| from detectron2.data.detection_utils import read_image |
| from detectron2.utils.logger import setup_logger |
|
|
| sys.path.insert(0, 'third_party/CenterNet2/projects/CenterNet2/') |
| from centernet.config import add_centernet_config |
| from grit.config import add_grit_config |
|
|
| from grit.predictor import VisualizationDemo |
|
|
|
|
| |
| WINDOW_NAME = "GRiT" |
|
|
|
|
| def setup_cfg(args): |
| cfg = get_cfg() |
| if args.cpu: |
| cfg.MODEL.DEVICE="cpu" |
| add_centernet_config(cfg) |
| add_grit_config(cfg) |
| cfg.merge_from_file(args.config_file) |
| cfg.merge_from_list(args.opts) |
| |
| cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = args.confidence_threshold |
| cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH = args.confidence_threshold |
| if args.test_task: |
| cfg.MODEL.TEST_TASK = args.test_task |
| cfg.MODEL.BEAM_SIZE = 1 |
| cfg.MODEL.ROI_HEADS.SOFT_NMS_ENABLED = False |
| cfg.USE_ACT_CHECKPOINT = False |
| cfg.freeze() |
| return cfg |
|
|
|
|
| def get_parser(): |
| parser = argparse.ArgumentParser(description="Detectron2 demo for builtin configs") |
| parser.add_argument( |
| "--config-file", |
| default="", |
| metavar="FILE", |
| help="path to config file", |
| ) |
| parser.add_argument("--cpu", action='store_true', help="Use CPU only.") |
| parser.add_argument( |
| "--input", |
| nargs="+", |
| help="A list of space separated input images; " |
| "or a single glob pattern such as 'directory/*.jpg'", |
| ) |
| parser.add_argument( |
| "--output", |
| help="A file or directory to save output visualizations. " |
| "If not given, will show output in an OpenCV window.", |
| ) |
| parser.add_argument( |
| "--confidence-threshold", |
| type=float, |
| default=0.5, |
| help="Minimum score for instance predictions to be shown", |
| ) |
| parser.add_argument( |
| "--test-task", |
| type=str, |
| default='', |
| help="Choose a task to have GRiT perform", |
| ) |
| parser.add_argument( |
| "--opts", |
| help="Modify config options using the command-line 'KEY VALUE' pairs", |
| default=[], |
| nargs=argparse.REMAINDER, |
| ) |
| return parser |
|
|
|
|
| if __name__ == "__main__": |
| mp.set_start_method("spawn", force=True) |
| args = get_parser().parse_args() |
| setup_logger(name="fvcore") |
| logger = setup_logger() |
| logger.info("Arguments: " + str(args)) |
|
|
| cfg = setup_cfg(args) |
|
|
| demo = VisualizationDemo(cfg) |
|
|
| if args.input: |
| for path in tqdm.tqdm(os.listdir(args.input[0]), disable=not args.output): |
| img = read_image(os.path.join(args.input[0], path), format="BGR") |
| start_time = time.time() |
| predictions, visualized_output = demo.run_on_image(img) |
| logger.info( |
| "{}: {} in {:.2f}s".format( |
| path, |
| "detected {} instances".format(len(predictions["instances"])) |
| if "instances" in predictions |
| else "finished", |
| time.time() - start_time, |
| ) |
| ) |
|
|
| if args.output: |
| if not os.path.exists(args.output): |
| os.mkdir(args.output) |
| if os.path.isdir(args.output): |
| assert os.path.isdir(args.output), args.output |
| out_filename = os.path.join(args.output, os.path.basename(path)) |
| else: |
| assert len(args.input) == 1, "Please specify a directory with args.output" |
| out_filename = args.output |
| visualized_output.save(out_filename) |
| else: |
| cv2.namedWindow(WINDOW_NAME, cv2.WINDOW_NORMAL) |
| cv2.imshow(WINDOW_NAME, visualized_output.get_image()[:, :, ::-1]) |
| if cv2.waitKey(0) == 27: |
| break |
