from .train import get_root_logger, set_random_seed, train_detector __all__ = [ 'get_root_logger', 'set_random_seed', 'train_detector', 'init_detector', 'async_inference_detector', 'inference_detector', 'show_result_pyplot', 'multi_gpu_test', 'single_gpu_test' ] 更进一步而言,在...
File "tools/train.py", line 16, in from mmdet.apis import set_random_seed, train_detector File "e:\mmlab\mmdetection-2.18.0\mmdet\apis_init_.py", line 2, in from .inference import (async_inference_detector, inference_detector, File "e:\mmlab\mmdetection-2.18.0\mmdet\apis\inference.py"...
from mmcv.apis import train_detector #设置随机种子 set_random_seed(0) #加载配置文件 cfg = Config.fromfile('config.py') #构建模型 model = build_detector(cfg.model) #加载预训练模型 checkpoint = load_checkpoint(model, 'checkpoint.pth') #构建数据管道 train_dataset = build_dataset(cfg.data.tr...
Traceback (most recent call last): File "tools/train.py", line 13, in from mmdet.apis import set_random_seed, train_detector File "/home/ubuntu/mmdetection/mmdet/apis/init.py", line 1, in from .inference import (async_inference_detector, inference_detector, File "/home/ubuntu/mmdetect...
from mmdet3d.apis import init_random_seed, train_model File "/usr/local/lib/python3.8/dist-packages/mmdet3d/apis/__init__.py", line 2, in <module> from .inference import (convert_SyncBN, inference_detector, File "/usr/local/lib/python3.8/dist-packages/mmdet3d/apis/inference.py", line...
bbox_result = inference_detector(detection_model, image) person_bbox, labels = VideoDemo.bbox_filter(bbox_result, detection_cfg.bbox_thre)iflen(person_bbox) >0: person, meta = VideoDemo.skeleton_preprocess( image[:, :, ::-1], person_bbox, skeleon_data_cfg) ...
dataset = build_dataset(cfg, 'train') Example #24Source File: inference.py From AerialDetection with Apache License 2.0 5 votes def init_detector(config, checkpoint=None, device='cuda:0'): """Initialize a detector from config file. Args: config (str or :obj:`mmcv.Config`): Config ...
config) model = build_detector( cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg).cuda() model.eval() if hasattr(model, 'forward_dummy'): model.forward = model.forward_dummy else: raise NotImplementedError( 'FLOPs counter is currently not currently supported with {}'. format(...
train_cfg = mmcv.Config(copy.deepcopy(config.train_cfg)) test_cfg = mmcv.Config(copy.deepcopy(config.test_cfg))returnmodel, train_cfg, test_cfg 开发者ID:open-mmlab,项目名称:mmdetection,代码行数:14,代码来源:test_forward.py 示例6: init_detector ...
from mmcv import Config, DictAction from mmcv.runner import get_dist_info, init_dist from mmcv.utils import get_git_hash from mmdet.apis import init_random_seed, set_random_seed, train_detector from mmdet.datasets import build_dataset from mmdet.models import build_detector from mmdet.utils im...