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# model information
# - name: model name, used for display
# task: model task, used for display
# input_size: input size, used for display
# folder: which folder the model located in, used for jumping to model detail
# acceptable_time: maximum acceptable inference time, large ones will be marked red
# keyword: used to specify this model from all benchmark results
#
# device information
# - name: full device name used to identify the device block, and jump to device detail
# display_info: device information for display
# platform: used to identify benchmark result of specific platform
#
# suffix information
# - model: which model
# device: which device
# suffix: this suffix will be appended to end of this text
Models:
- name: "YuNet"
task: "Face Detection"
input_size: "160x120"
folder: "face_detection_yunet"
acceptable_time: 50
keyword: "face_detection_yunet"
- name: "SFace"
task: "Face Recognition"
input_size: "112x112"
folder: "face_recognition_sface"
acceptable_time: 200
keyword: "face_recognition_sface"
- name: "FER"
task: "Face Expression Recognition"
input_size: "112x112"
folder: "facial_expression_recognition"
acceptable_time: 200
keyword: "facial_expression_recognition_mobilefacenet"
- name: "LPD_YuNet"
task: "License Plate Detection"
input_size: "320x240"
folder: "license_plate_detection_yunet"
acceptable_time: 700
keyword: "license_plate_detection_lpd_yunet"
- name: "YOLOX"
task: "Object Detection"
input_size: "640x640"
folder: "object_detection_yolox"
acceptable_time: 2800
keyword: "object_detection_yolox"
- name: "NanoDet"
task: "Object Detection"
input_size: "416x416"
folder: "object_detection_nanodet"
acceptable_time: 2000
keyword: "object_detection_nanodet"
- name: "PPOCRDet-CN"
task: "Text Detection"
input_size: "640x480"
folder: "text_detection_ppocr"
acceptable_time: 2000
keyword: "text_detection_cn_ppocrv3_2023may"
- name: "PPOCRDet-EN"
task: "Text Detection"
input_size: "640x480"
folder: "text_detection_ppocr"
acceptable_time: 2000
keyword: "text_detection_en_ppocrv3_2023may"
- name: "CRNN-EN"
task: "Text Recognition"
input_size: "100x32"
folder: "text_recognition_crnn"
acceptable_time: 2000
keyword: "text_recognition_CRNN_EN"
- name: "CRNN-CN"
task: "Text Recognition"
input_size: "100x32"
folder: "text_recognition_crnn"
acceptable_time: 2000
keyword: "text_recognition_CRNN_CN"
- name: "PP-ResNet"
task: "Image Classification"
input_size: "224x224"
folder: "image_classification_ppresnet"
acceptable_time: 1000
keyword: "image_classification_ppresnet50"
- name: "MobileNet-V1"
task: "Image Classification"
input_size: "224x224"
folder: "image_classification_mobilenet"
acceptable_time: 500
keyword: "image_classification_mobilenetv1"
- name: "MobileNet-V2"
task: "Image Classification"
input_size: "224x224"
folder: "image_classification_mobilenet"
acceptable_time: 500
keyword: "image_classification_mobilenetv2"
- name: "PP-HumanSeg"
task: "Human Segmentation"
input_size: "192x192"
folder: "human_segmentation_pphumanseg"
acceptable_time: 700
keyword: "human_segmentation_pphumanseg"
- name: "WeChatQRCode"
task: "QR Code Detection and Parsing"
input_size: "100x100"
folder: "qrcode_wechatqrcode"
acceptable_time: 100
keyword: "WeChatQRCode"
- name: "YoutuReID"
task: "Person Re-Identification"
input_size: "128x256"
folder: "person_reid_youtureid"
acceptable_time: 800
keyword: "person_reid_youtu"
- name: "MP-PalmDet"
task: "Palm Detection"
input_size: "192x192"
folder: "palm_detection_mediapipe"
acceptable_time: 500
keyword: "palm_detection_mediapipe"
- name: "MP-HandPose"
task: "Hand Pose Estimation"
input_size: "224x224"
folder: "handpose_estimation_mediapipe"
acceptable_time: 500
keyword: "handpose_estimation_mediapipe"
- name: "MP-PersonDet"
task: "Person Detection"
input_size: "224x224"
folder: "person_detection_mediapipe"
acceptable_time: 1300
keyword: "person_detection_mediapipe"
- name: "MP-Pose"
task: "Pose Estimation"
input_size: "256x256"
folder: "pose_estimation_mediapipe"
acceptable_time: 700
keyword: "pose_estimation_mediapipe"
- name: "VitTrack"
task: "Object Tracking"
input_size: "1280x720"
folder: "object_tracking_vittrack"
acceptable_time: 1000
keyword: "object_tracking_vittrack"
Devices:
- name: "Intel 12700K"
display_info: "Intel\n12700K\nCPU"
platform: "CPU"
- name: "Atlas 200I DK A2"
display_info: "Atlas 200I DK A2\nAscend 310B\nCPU"
platform: "CPU"
- name: "Atlas 200 DK"
display_info: "Atlas 200 DK\nAscend 310\nCPU"
platform: "CPU"
- name: "Khadas VIM3"
display_info: "Khadas VIM3\nA311D\nCPU"
platform: "CPU"
- name: "Khadas VIM4"
display_info: "Khadas VIM4\nA311D2\nCPU"
platform: "CPU"
- name: "Khadas Edge2 (with RK3588)"
display_info: "Khadas Edge2\nRK3588S\nCPU"
platform: "CPU"
- name: "Jetson Nano B01"
display_info: "Jetson Nano\nB01\nCPU"
platform: "CPU"
- name: "Jetson Nano Orin"
display_info: "Jetson Nano\nOrin\nCPU"
platform: "CPU"
- name: "Raspberry Pi 4B"
display_info: "Raspberry Pi 4B\nBCM2711\nCPU"
platform: "CPU"
- name: "Horizon Sunrise X3 PI"
display_info: "Horizon Sunrise Pi\nX3\nCPU"
platform: "CPU"
- name: "MAIX-III AX-PI"
display_info: "MAIX-III AX-Pi\nAX620A\nCPU"
platform: "CPU"
- name: "Toybrick RV1126"
display_info: "Toybrick\nRV1126\nCPU"
platform: "CPU"
- name: "StarFive VisionFive 2"
display_info: "StarFive VisionFive 2\nStarFive JH7110\nCPU"
platform: "CPU"
- name: "Jetson Nano B01"
display_info: "Jetson Nano\nB01\nGPU"
platform: "GPU (CUDA-FP32)"
- name: "Jetson Nano Orin"
display_info: "Jetson Nano\nOrin\nGPU"
platform: "GPU (CUDA-FP32)"
- name: "Khadas VIM3"
display_info: "Khadas VIM3\nA311D\nNPU"
platform: "NPU (TIMVX)"
- name: "Atlas 200 DK"
display_info: "Atlas 200 DK\nAscend 310\nNPU"
platform: "NPU (CANN)"
Suffixes:
- model: "MobileNet-V1"
device: "Khadas VIM3"
platform: "NPU (TIMVX)"
str: "\\*"
- model: "MobileNet-V2"
device: "Khadas VIM3"
platform: "NPU (TIMVX)"
str: "\\*"
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