Add batch 8 (NetFPGA_netfpga, LeiWang1999_ZYNQ-NVDLA, secworks_sha256, Arlet_verilog-6502, ridecore_ridecore)
a3dba46 verified | <h1 align="center">ZYNQ-NVDLA</h1> | |
| NVDLA Xilinx FPGA Mapping！ | |
| 1. [Technical Post](https://zhuanlan.zhihu.com/p/378202360) | |
| 2. **[Tengine Frontend Supported !](https://github.com/OAID/Tengine)** | |
| ## File Tree of WorkSpace | |
| ``` | |
| IP/ Vivado IP Package For Nvdla Small | |
| include/ Tengine backend include | |
| RTL/ nvdla small rtl (include wrapper.v) | |
| kmd/ kernel mode drive for petalinux (include zynq7000 / zynq MPSoc) | |
| paper/ Latex paper for Bachelor degree | |
| prebuilt/ aarch64 prebuilt lib | |
| reports/ Timing、Power、Resource、Execution reports | |
| sdk_sanity/ sdk sanity Test for NVDLA | |
| umd/ Compiler and Runtime source code | |
| ``` | |
| ## Talk | |
| - Tengine Open Talk : New Backend OpenDLA. [[slides](https://github.com/LeiWang1999/ZYNQ-NVDLA/TengineTalk.pdf)] [[recording](https://www.bilibili.com/video/BV1z44y1478k)] | |
| ## Test | |
| #### 3.1 Classification | |
| **Resnet18-Cifar10** | |
| ```bash | |
| $ cd <tengine-lite-root-dir>/build | |
| $ cmake --build . --target tm_classification_opendla | |
| $ cd examples | |
| $ ./tm_classification_opendla -m /root/Tengine/models/resnet18-cifar10-nosoftmax-relu_int8.tmfile -i /root/Tengine/images/cat.jpg -g 32,32 -s 1,1,1 | |
| Mean value not specified, use default 104.0, 116.7, 122.7 | |
| tengine-lite library version: 1.4-dev | |
| NVDLA time: 0.012502 seconds | |
| model file : /root/Tengine/models/resnet18-cifar10-nosoftmax-relu_int8.tmfile | |
| image file : /root/Tengine/images/cat.jpg | |
| img_h, img_w, scale[3], mean[3] : 32 32 , 1.000 1.000 1.000, 104.0 116.7 122.7 | |
| Repeat 1 times, thread 1, avg time 12.62 ms, max_time 12.62 ms, min_time 12.62 ms | |
| -------------------------------------- | |
| 10.087049, 3 | |
| 3.833079, 2 | |
| 3.026115, 5 | |
| 2.420892, 4 | |
| -0.403482, 0 | |
| -------------------------------------- | |
| ``` | |
| #### 3.2 Detection | |
| **Yolox-nano** | |
| ```bash | |
| $ cd <tengine-lite-root-dir>/build | |
| $ cmake --build . --target tm_classification_opendla tm_yolox_opendla | |
| $ cd examples | |
| $ ./tm_yolox_opendla -m /root/Tengine/models/yolox_nano_relu_int8.tmfile -i /root/Tengine/images/dog.jpg -r 1 | |
| tengine-lite library version: 1.4-dev | |
| Repeat 1 times, thread 1, avg time 1138.80 ms, max_time 1138.80 ms, min_time 1138.80 ms | |
| -------------------------------------- | |
| detection num: 3 | |
| 2: 70%, [ 463, 80, 676, 163], car | |
| 16: 52%, [ 122, 220, 315, 517], dog | |
| 1: 48%, [ 180, 181, 564, 430], bicycle | |
| ``` | |
| Output: | |
|  | |