same here. One way to visualize the results would be to follow thedemo/inference_demo.ipynb: # build the model from a config file and a checkpoint filemodel=init_detector(config_file,checkpoint_file)image=mmcv.imread(some_img)result=inference_detector(model,image)# init the visualizer(execute...
init_detector(config_file, checkpoint_file, device='cuda:0') # 执行推理 img = 'demo/demo.jpg' result = inference_detector(model, img) # 自定义展示结果的函数 def show_result(img, result, score_thr=0.3): bbox_result, segm_result = result[:2] # Faster R-CNN 只输出了 bbox 和mask ...
result = inference_detector(model, img) img = mmcv.imconvert(img, 'bgr', 'rgb') visualizer.add_datasample( name='result', image=img, data_sample=result, draw_gt=False, pred_score_thr=0.3, show=False) img = visualizer.get_image() ...
var credential = new AzureKeyCredential("<key>"); var endpoint = new Uri("<https://my-service.azure.com>"); var client = new AnomalyDetectorClient(endpoint, credential); var result = await client.GetMultivariateBatchDetectionResultAsync("<resultId>"); Remarks For asynchro...
Methods inherited from java.lang.Object Method Details getResultId public String getResultId() Get the resultId property: Result identifier, which is used to fetch the results of an inference call. Returns: the resultId value. Applies to Azure SDK for Java Preview...
MLRemoteLangDetectorSetting MLRemoteLangDetectorSetting.Factory 错误码 com.huawei.hms.mlsdk.asr Overview Interface Summary MLAsrListener MLAsrRecognizer.LanguageCallback Class Summary MLAsrConstants MLAsrRecognizer 错误码 com.huawei.hms.mlplugin.asr Overview Class Summary MLAsrCap...
MLRemoteLangDetectorSetting MLRemoteLangDetectorSetting.Factory 错误码 com.huawei.hms.mlsdk.asr Overview Interface Summary MLAsrListener MLAsrRecognizer.LanguageCallback Class Summary MLAsrConstants MLAsrRecognizer 错误码 com.huawei.hms.mlplugin.asr Overview Class Summary MLAsrCapt...
开发者ID:IBM,项目名称:MAX-Object-Detector,代码行数:16,代码来源:object_detection_evaluation_test.py 示例14: test_export_saved_model_and_run_inference ▲点赞 5▼ # 需要导入模块: from object_detection.core import standard_fields [as 别名]# 或者: from object_detection.core.standard_fields impor...
This paper proposes an online video object detection method based on the one-stage detector YOLOx. First, the module for space–time feature aggregation is given, which uses the space–time information of past frames to enhance the feature quality of the current frame. Then, the module for ...
Running the demo does not work with latest mmdetection. Here is the proposed dem python demo/demo_attention_rpn_detector_inference.py \ demo/demo_detection_images/query_images/demo_query.jpg \ configs/detection/attention_rpn/coco/attenti...