I RKNN: [22:59:21.127] RKNN Model Information: version: 4, toolkit version: 1.5.0+1fa95b5c(compiler version: 1.5.0 (e6fe0c678@2023-05-25T16:15:03)), target: RKNPU v2, target platform: rk3588, framework name: PyTorch, framework layout: NCHW, model inference type: static_shape done...
cd python python convert.py <onnx_model> <TARGET_PLATFORM> <dtype(optional)> # such as: python convert.py ../model/yolov6n.onnx rk3588 # output model will be saved as ../model/yolov6.rknn Description: <onnx_model>: Specify ONNX model path. <TARGET_PLATFORM>: Specify NPU platfor...
model_path = 'hrnet_quant.onnx' original_model = onnx.load(model_path) original_model.opset_import[0].version = 12 # original_model.ir_version = 6 onnx.save(original_model, "hrnet_quant_new.onnx") print(original_model.opset_import[0].version) 1. 2. 3. 4. 5. 6. 7. 8. 9....
pip3 install numpy==1.16.6 再次尝试用python导入rknn，应该就可以了。如果 在与PC相关的AIO-3568J...
C代码: ret = rknn_init(&ctx, model_data, model_data_size, 0, NULL); rknn_sdk_version version; ret = rknn_query(ctx, RKNN_QUERY_SDK_VERSION, &version, sizeof(rknn_sdk_version)); if (ret < 0) { printf("rknn_init error ret=%d\n", ret);...
在3588X上运行rknn带的yolov5s的实例,rknn是1.4.0版本在代码里加上了指定npu核心的接口(CORE_0_1),运行报错,如下:Loading mode... E RKNN: [03:20:41.172] Not support core mask: 3, fallback to single core auto mode E RKNN: [03:20:41.172] NN Compiler/Model Version is 1.2.6 now...
trace_model.save('./resnet18.pt')# show一下输出 def show_outputs(output):output_sorted = ...
RK1808,RK3399PRO,RV1109,RV1126will be supported in next version. (Foryolov5/6/7/8,yolox,ppyoloedemos, they are available inv1.5.0, please switch tov1.5.0to get them) Dependency library installation RKNN Model Zoorelies onRKNN-Toolkit2for model conversion. The Android compilation tool cha...
print("Load rknn model failed!") exit(ret) # init runtime environment print("--> Init runtime environment") ret = rknn.init_runtime() sdk_version = rknn.get_sdk_version() print(sdk_version) 1. 2. 3. 4. 5. 6. 7. 8.
Rockchip RKNN API 用户指南说明书 http://t.rock-chips.com Rockchip User Guide RKNN_API V1.3.0