Spaces:
Runtime error
Runtime error
| 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 | |
| import json | |
| # constants | |
| WINDOW_NAME = "GRiT" | |
| def dense_pred_to_caption(predictions): | |
| boxes = predictions["instances"].pred_boxes if predictions["instances"].has("pred_boxes") else None | |
| object_description = predictions["instances"].pred_object_descriptions.data | |
| new_caption = "" | |
| for i in range(len(object_description)): | |
| new_caption += (object_description[i] + ": " + str([int(a) for a in boxes[i].tensor.cpu().detach().numpy()[0]])) + "; " | |
| return new_caption | |
| 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) | |
| # Set score_threshold for builtin models | |
| 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( | |
| "--image_src", | |
| default="../examples/1.jpg", | |
| help="Input json file include 'image' and 'caption'; " | |
| ) | |
| # "/home/aiops/wangjp/Code/LLP/annotation/coco_karpathy_test_dense_caption.json", "/home/aiops/wangjp/Code/LLP/annotation/coco_karpathy_train_dense_caption.json" | |
| 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.image_src: | |
| img = read_image(args.image_src, format="BGR") | |
| start_time = time.time() | |
| predictions, visualized_output = demo.run_on_image(img) | |
| new_caption = dense_pred_to_caption(predictions) | |
| print(new_caption) | |
| output_file = os.path.expanduser("~/grit_output.txt") | |
| with open(output_file, 'w') as f: | |
| f.write(new_caption) | |
| # sys.exit(new_caption) |