(model_path, device_name, 0, &detector); if (status != MMDEPLOY_SUCCESS) { fprintf(stderr, "failed to create detector, code: %d\n", (int) status); return 1; } // load image clock_t t0 = clock(); cv::Mat img = cv::imread(img_path); mmdeploy_mat_t mat{ img.data, img...
.. doxygentypedef:: mmdeploy_detector_t .. doxygenfunction:: mmdeploy_detector_create .. doxygenfunction:: mmdeploy_detector_create_by_path .. doxygenfunction:: mmdeploy_detector_apply .. doxygenfunction:: mmdeploy_detector_release_result .. doxygenfunction:: mmdeploy_detector_destroy ...
auto sdk_model_path = "/the/work/dir/passed/to/deploy.py"; auto image_path = "/the/path/of/an/image"; auto device_name = "cuda"; auto device_id = 0; // 创建检测器句柄 mm_handle_t detector{}; mmdeploy_detector_create_by_path(model_path, device_name, 0, &detector); // 读...
cv::Mat img = cv::imread(image_path); if (!img.data) { fprintf(stderr, "failed to load image: %s\n", image_path); return 1; } mm_handle_t detector{}; int status{}; status = mmdeploy_detector_create_by_path(model_path, device_name, 0, &detector); ...
There is no such a class named Detector. If you want to inference the backend engines, you may try: from mmdeploy.apis.utils import build_task_processor task_processor = build_task_processor(model_cfg, deploy_cfg, device) model = task_processor.init_backend_model(backend_files) input_shape...
onnxruntime_inference_collection.py", line 283, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/opt/conda/envs/llens/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 310, in _create_inference_session...
error LNK2019 unresolved external symbol mmdeploy_detector_create_by_path, referenced in function main Collaborator lzhangzz commented Apr 25, 2022 Please refer to windows.md for how to build & use the SDK. lvhan028 closed this as completed Apr 29, 2022 Sign...
KeyError: 'Cannot get key by value "Backend.TENSORRT" of <enum 'Backend'>' 2022-07-07 12:44:46,728 - mmdeploy - ERROR -mmdeploy.apis.calibration.create_calib_input_datawith Call id: 1 failed. exit. script: python ./tools/deploy.py ...
>>> # create object detector >>> from mmdeploy_runtime import Detector, PoseDetector loading libmmdeploy_trt_net.so ... loading libmmdeploy_ort_net.so ... >>> detector = Detector(model_path="/home/tis697/code/mmlab/mmdeploy_model/faster-rcnn",device_name="cuda") ...
File".\mmdeploy\demo\python\object_detection.py", line 5,in<module>from mmdeploy_runtime import Detector ModuleNotFoundError: No module named'mmdeploy_runtime' As you use python 3.8, you have to add the dependencies of thepydfile manually, similiar tothis, you may modify the code like ...