Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/xavier3/mmdetection/mmdet/apis/__init__.py", line 2, in <module> from .inference import (async_inference_detector, inference_detector, File "/home/xavier3/mmdetection/mmdet/apis/inference.py", line ...
为了查看模型的结构和参数,首先需要加载模型。在MMDetection中,模型通常是通过配置文件(config file)来定义的。以下是一个加载模型的示例代码: python from mmdet.apis import init_detector # 指定配置文件的路径 config_file = 'path/to/your/config_file.py' # 指定预训练模型权重文件的路径 checkpoint_file = ...
from mmdet.apis import init_detector, inference_detector, show_result_pyplot image = 'data/kitti_tiny/training/image_2/000066.jpeg' model = init_detector('retinanet_r18_fpn_1x_kitti.py', 'work_dirs/retinanet_r18_fpn_1x_kitti/latest.pth') result = inference_detector(model, image) show_...
首先,初始化环境并导入必要的库: importtorchfrommmdet.apisimportinit_detector,inference_detector# Load the model from config fileconfig_file='configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'checkpoint_file='checkpoints/faster_rcnn_r50_fpn_1x_coco.pth'model=init_detector(config_file,checkpoint...
from mmdet.apis import init_detector, inference_detector from mmdet.registry import VISUALIZERS import cv2 import mmcv path to model file config_file = 'rtmdet_tiny_8xb32-300e_coco.py' path to weight file checkpoint_file = 'rtmdet_tiny_8xb32-300e_coco_20220902_112414-78e30dcc.pth' ...
import os from mmdet.apis import init_detector, inference_detector def demo_mmdet(): base_dir = r'D:\Program Files\Third_Part_Lib\mmdetection' # mmdetection的安装目录 config_file = os.path.join(base_dir, r'configs\faster_rcnn\faster_rcnn_r50_fpn_1x_coco.py') # download the checkpoint...
File"/home/mmxsrt/sg-pcr-client/pr_handler_new.py", line4,in<module>from mmdet.apis import init_detector, inference_detector, show_result File"/mmdetection/mmdet/__init__.py", line1,in<module>from .version import __version__, short_version ...
importmmcvfrommmdet.apisimportinference_detector, init_detector, show_result_pyplot 下载并初始化预训练模型: !wget https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco_20200229-4c4fc3ad.pth ...
importtorchfrommmdet.apisimportinit_detector,inference_detector,show_result_pyplot config_file='configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'checkpoint_file='checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth'# 初始化模型model=init_detector(config_file,checkpoint_file,device='...
import osfrom mmdet.apis import init_detector, inference_detectordef demo_mmdet():base_dir = r'D:\Program Files\Third_Part_Lib\mmdetection' # mmdetection的安装目录config_file = os.path.join(base_dir, r'configs\faster_rcnn\faster_rcnn_r50_fpn_1x_coco.py')# download the checkpoint from ...