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Colaboratory\n|Description|Benchmarks|Framework|HW|\n|:--|:--|:--|:--|\n|[TF2 Detection Models](tensorflow/tf2_detection_model_zoo/local_gtx1070.md)|AP, Latency|TensorFlow\u003cbr\u003eXLA Auto-clustering|Local PC GTX1070|\n|[TF2 Detection Models](tensorflow/tf2_detection_model_zoo/colab_p100.md)|AP, Latency|TensorFlow\u003cbr\u003eTF-TRT\u003cbr\u003eXLA Auto-clustering|Google Colab Tesla P100|\n|[TF2 Detection Models](tensorflow/tf2_detection_model_zoo/colab_v100.md)|AP, Latency|TensorFlow|Google Colab Tesla V100|\n|[TF2 Detection Models](tensorflow/tf2_detection_model_zoo/v100_vs_p100_vs_gtx1070.md)|Latency|TensorFlow|V100 vs P100 vs GTX1070|\n|[Torchvision detection models](pytorch/torchvision/README.md)|AP, Latency, \u003cbr\u003eYouTube video|PyTorch, Torchvision|Local PC GTX1070|\n\n### Raspberry Pi / Coral Dev Board + EdgeTPU\n|Description|Benchmarks|Framework|HW|\n|:--|:--|:--|:--|\n|[TensorFlow 1 Detection Model Zoo](tensorflow/lite/tf1_detection_model_zoo/raspi.md)|AP, Latency|TensorFlow Lite\u003cbr\u003eXNNPACK delegate\u003cbr\u003eARM NN delegate\u003cbr\u003eEdgeTPU delegate|Raspberry Pi 2, 3, 4\u003cbr\u003eCoral USB Accelerator|\n|[EdgeTPU Models](tensorflow/lite/tf1_detection_model_zoo/devboard.md)|Latency|TensorFlow Lite\u003cbr\u003eEdgeTPU delegate|Coral Dev Board|\n|[EfficientDet-Lite](tensorflow/lite/efficentdet/efficientdet.md)|AP, Latency|TensorFlow Lit\u003cbr\u003eXNNPACK delegate\u003cbr\u003eARM NN delegate\u003cbr\u003eEdgeTPU delegate|Raspberry Pi 2, 3, 4\u003cbr\u003eCoral USB Accelerator|\n|[YOLOX TensorFlow LiteM](tensorflow/lite/yolox)|AP, Latency|TensorFlow Lite\u003cbr\u003eXNNPACK delegate|Raspberry Pi 4|\n|[TF-Lite SpaghettiNet EdgeTpu Latency vs max_detections](tensorflow/lite/spaghettinet/latency_vs_map.md)|AP, Latency|TensorFlow Lite EdgeTPU delegate|Raspberry Pi 4 + Coral USB Accelerator\u003cbr\u003eCoral Dev Board|\n\n### Jetson\n|Description|Benchmarks|Framework|HW|\n|:--|:--|:--|:--|\n|[TensorRT EfficientDet and TensorFlow Object Detection API](tensorrt/jetson/detection/README.md)| Latency,\u003cbr\u003eYouTube video | TensorRT | Jetson Nano |\n|[TensorRT Autoseg-EdgeTPU and\u003cbr\u003eDeepLab v3+ MobilenetEdgeTPUV2](tensorrt/jetson/deeplabv3_edgetpuv2/deeplabv3_edgetpuv2.md)| Latency,\u003cbr\u003eYouTube video | TensorRT | Jetson Nano |\n|[TensorRT Fast-SCNN](tensorrt/jetson/fast_scnn/README.md)| Latency,\u003cbr\u003eYouTube video | TensorRT | Jetson Nano |\n|[TensorRT Ultra-Fast-Lane-Detection](tensorrt/jetson/ultra_falst_lane_detection/README.md)| Latency,\u003cbr\u003eYouTube video | TensorRT | Jetson Nano |\n\n### TensorFlow Lite on RISC-V SoC\n|Description|Benchmarks|Framework|HW|\n|:--|:--|:--|:--|\n|[Sipeed Lichee RV Dock Allwinner D1](tensorflow/lite/riscv/lichee_rv_dock/README.md) | Latency | TensorFlow Lite | CPU |\n|[StarFive VisionFive 2](tensorflow/lite/riscv/visionfive2/README.md) | Latency | TensorFlow Lite | CPU, GPU |\n\n## Reference\n- [TensorFlow 1 Detection Model Zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md)\n- [TensorFlow 2 Detection Model Zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md)\n- [TensorFlow XLA Auto-clustering](https://www.tensorflow.org/xla#auto-clustering)\n- [TF-TRT (tensorflow / tensorrt)](https://github.com/tensorflow/tensorrt)\n- FP32 XNNPACK: [PINTO0309/TensorflowLite-bin](https://github.com/PINTO0309/TensorflowLite-bin)\n- [EfficientDet](https://github.com/google/automl/tree/master/efficientdet)\n- [The Arm NN TensorFlow Lite delegate](https://github.com/ARM-software/armnn/tree/branches/armnn_21_05/delegate)\n- [ARM Compute Librarry](https://github.com/ARM-software/ComputeLibrary)\n- [Coral EdgeTPU](https://coral.ai/)\n- [PINTO0309/Bazel_bin](https://github.com/PINTO0309/Bazel_bin)\n- [PyTorch](https://pytorch.org/)\n- [Torchvision](https://pytorch.org/vision/stable/)\n- [TensorRT](https://github.com/NVIDIA/TensorRT)\n- [meta-tensorflow-lite](https://github.com/NobuoTsukamoto/meta-tensorflow-lite)\n- [Yocto Project](https://www.yoctoproject.org/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnobuotsukamoto%2Fbenchmarks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnobuotsukamoto%2Fbenchmarks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnobuotsukamoto%2Fbenchmarks/lists"}