# 需要导入模块: from mmdet import apis [as 别名]# 或者: from mmdet.apis importinference_detector[as 别名]defmain():args = parse_args()# build the model from a config file and a checkpoint filemodel = init_detector(args.config_file, args.checkpoint, device='cuda:0')# test a single i...
開發者ID:marc-moreaux,項目名稱:Weakly_detector,代碼行數:32,代碼來源:forward_image.py 注:本文中的detector.Detector.inference方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉...
本文主要介绍使用MTCNN训练好的模型,对图片和视频中的人脸进行检测。MTCNN的Inference流程如下图所示: 图片检测 首先读入要检测的图片: image = cv2.imread(imagepath) 其次加载训练好的模型参数,构建检测对象: detector = MtcnnDetector 执行推理操作 all_boxes,landmarks = detector.detect_face(image) 绘制目标框:...
File "/home/ec2-user/mmpose/demo/body3d_pose_lifter_demo.py", line 213, in process_one_image det_result = inference_detector(detector, frame) File "/opt/conda/lib/python3.10/site-packages/mmdet/apis/inference.py", line 189, in inference_detector results = model.test_step(data)[0] File...
The capacitance matrix of a detector and its dependence on the impurity density is explained and a capacitance bias-voltage scan of an n-type true-coaxial test detector is presented. The study indicates that the impurity density of the test detector also has a radial...
Like PeopleNet, DashCamNet is a 960x544 detector based on DetectNet_v2 and ResNet-34. It's intended use is for detecting people and vehicles from street-level viewpoints and first-person perspectives. TrafficCamNet is similar, for imagery taken from a higher vantage point.# C++ ...
Compared with a single-loop detector, it is able to provide more useful information on traffic flow with a higher precision. In this paper we investigate statistical inference for vehicle speed and vehicle length using dual-loop detector data. A Bayesian analysis is performed to combine current ...
The proposed technique is generic in the sense that it can be applied on top of any available object detector without any fine-tuning. Experimental evaluations, using object detection baselines on the Visdrone and xView aerial object detection datasets show that the proposed inference method can ...
1d), which allowed us to use a minimal number of features and yet, still achieve good performance of the detector. In particular, in Fig. 1d we show various features that have been obtained with other approaches such as the sum of spectral powers and the correlation method. The main ...
$ wget https://paddle-inference-dist.cdn.bcebos.com/temp_data/nano_mask_detection/mask_detector.zip 根据第二节中的描述创建口罩分类的Model对象。 mask_classify = Model('./mask_detector/model', './mask_detector/params') 口罩分类模型图像预处理 ...