test_modeandself.load_eval_anns:info['eval_ann_info']=self.parse_ann_info(info)returninfodefparse_ann_info(self,info:dict)->dict:"""Process the `instances` in data info to `ann_info`.Args:info (dict): Data information of single data sample.Returns:dict: Annotation information consists o...
if isinstance(mode, str): # self.train() if not hasattr(self, mode): raise ValueError(f'runner has no method named "{mode}" to run an epoch') epoch_runner = getattr(self, mode) else: raise TypeError('mode in workflow must be a str, but got {}'.format(type(mode))) for _ in...
test_pipeline = [ dict( type='LoadImageFromFile', to_float32=True, backend_args=base.backend_args, ), # don't need Resize dict( type='RandomCenterCropPad', crop_size=None, ratios=None, border=None, test_mode=True, test_pad_mode=['logical_or', 127], ...
backend_args=backend_args, test_mode=True ) val_dataset2 = dict( type=dataset_type, ann_file='./Dataset/data_2/val_coco.json', img_prefix='./Dataset/data_2/tagged_raw_images/', metainfo=metainfo, backend_args=backend_args, test_mode=True ) train_dataset = dict( type='ConcatDataset...
train/test 读取图像信息+label信息 和train类似 合适/不合适 随机选取 直接选取 /mmdet/models: 模型实际实现函数 /mmdet.ops: 需要快速实现的操作,如:NMS、ROIPooling、ROIAlign... /mmdet/utils: 一些辅助操作,环境变量和版本等 -- mmdetection.tests /tests/all: 测试脚本,可以用来查看原理和测试 -- mmdetect...
train/test 读取图像信息+label信息 和train类似 合适/不合适 随机选取 直接选取 /mmdet/models: 模型实际实现函数 /mmdet.ops: 需要快速实现的操作,如:NMS、ROIPooling、ROIAlign... /mmdet/utils: 一些辅助操作,环境变量和版本等 -- mmdetection.tests /tests/all: 测试脚本,可以用来查看原理和测试 -- mmdetect...
add different iou threshold in test mode 4年前 requirements Handle scipy import in DETR (#4339) 4年前 resources Add logo and resources folder (#3230) 5年前 tests [Feature] Support to visualize results based on prediction quality (#4441) ...
IC, LVD, PONY SVHC detection, ISO, Drop test report, SGS Technical requirements More information and products list, and any technical requirements please contact me feel free. I am looking forward for your kind inquiry. Yours Cherry Chen Send your message to this supplier *From: ...
dump(fawlidar_infos_test, filename) 生成文件: fawlidar_infos_test.pkl fawlidar_infos_train.pkl fawlidar_infos_trainval.pkl fawlidar_infos_val.pkl train.py 整体流程 命令行参数 python /home/qiancj/codes/mmdet3d_lidar/tools/train.py /home/qiancj/codes/mmdet3d_lidar/configs/centerpoint/...
tools/test.py 分析日志,绘制Loss曲线 analysis_tools结果分析 analyze_results.py eval_metric.py 以某个评估标准进行评估 browse_dataset.py 可视化数据集(训练前) benchmark.py FPS 测试基准 混淆矩阵图像绘制 Voc2CoCo 【todo】 未测试工具 CoCo格式数据特殊的分析工具 压缩一个模型—publish_model.py压缩模型...