ret = rknn_init(&context, model_net_1, model_len, RKNN_FLAG_PRIOR_MEDIUM); if(ret < 0) { printf("rknn_init fail! ret=%d\n", ret); source_release(context, model_net_1); return -1; } ctx.push_back(context); printf("[debug] ctx[0]:%ld\n",context); fclose(fp); model_...
;ret = rknn_init(ctx, model, model_len, 0, nullptr);if(ret < 0){qDebug("rknn_init fail...
// 2. Init RKNN model int ret = rknn_init(&ctx, model, model_len, 0, nullptr); free(model); if (ret < 0) { LOGE("rknn_init fail! ret=%d\n", ret); return -1; } // 3. Query input/output attr. rknn_input_output_num io_num; rknn_query_cmd cmd = RKNN_QUERY_IN_OUT_N...
）- ret = rknn.init_runtime（）+ ret = rknn.init_runtime（target=‘rk3568’）if ret ！
rknn_context ctx;intret;intmodel_len =0;unsignedchar*model;printf("Loading model ...\n"); model =load_model(g_ssd_path, &model_len); ret =rknn_init(&ctx, model, model_len,0);if(ret <0) {printf("rknn_init fail! ret=%d\n", ret);returnNULL; ...
Create RKNN model fail, error=-14rknn_init error ret=-14 该错误是板子上的库是Mini driver, 所以只能加载预编译的模型,在转换模型的时候,打开预编译开关precompile。 打开刚才的test.py,增加一个pre_compile=True ret = rknn.build(do_quantization=QUANTIZE_ON, dataset=DATASET) ...
以下是一个简单的示例代码,用于演示如何捕获并处理 rknn_err_fail 错误: python from rknnlite.api import RKNNLite def init_rknn(model_path): try: rknn = RKNNLite() ret = rknn.load_rknn(model=model_path) if ret != 0: raise Exception(f"RKNN load failed. error code: {ret}") ret = ...
# 设备初始化 self.__init_device() # 创建模型 self.__init_model() def ...
') exit(ret) print('done') # Init runtime environment print('-->...
18 示例代码如下: ret = rknn.init_runtime() if ret != 0: print('Init runtime environment failed') exit(ret) http://t.rock-chips.com 3.3.3.4 inference inference 接口可以进行模型推理.注意在推理前,必须先调用 load_rknn 接口加载 RKNN 模型. API inference 功能 使用模型对指定的输入进行推理,...