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...
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() ...
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 ...
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...
MLModelDownloadStrategy.Factory MLLocalModel MLRemoteModel 错误码 com.huawei.hms.mlsdk.langdetect Overview Class Summary MLDetectedLang MLLangDetectorFactory com.huawei.hms.mlsdk.langdetect.local Overview Class Summary MLLocalLangDetector MLLocalLangDetectorSetting MLLocalLan...
MLModelDownloadStrategy.Factory MLLocalModel MLRemoteModel 错误码 com.huawei.hms.mlsdk.langdetect Overview Class Summary MLDetectedLang MLLangDetectorFactory com.huawei.hms.mlsdk.langdetect.local Overview Class Summary MLLocalLangDetector MLLocalLangDetectorSetting MLLocalLangDetectorS...
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...
I have a trained MobileNetV2 model on Keras but I am getting discrepancy in results (20 mismatches out of 2500 images) in between inference directly done on Keras side vs .h5 file converted to protocol buffer (.pb) and then to OpenVino IR files. Do you have any idea rega...
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 import...
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/attention-rpn_r50_c4_4xb2_coco_base-training.py \ https://downl...