opencv/opencv_zoo

By opencv · ↓ 0 · ♥ 3 · Updated 2025-06-05

What's in this repo

This page lists the files in opencv/opencv_zoo, including deblurring_nafnet_2025may.onnx, edge_detection_dexined_2024sep.onnx, face_detection_yunet_2023mar.onnx and more.

70 ONNX models (.onnx files)
324 files, including 79 .py, 70 .onnx, 31 .md, 25 .jpg, 23 .yaml, 23 .txt
Repository size ~1.3 GB
Last updated 2025-06-05

ONNX files

File	Size	Download
models/deblurring_nafnet/deblurring_nafnet_2025may.onnx	87.5 MB	Download
models/edge_detection_dexined/edge_detection_dexined_2024sep.onnx	45.0 MB	Download
models/face_detection_yunet/face_detection_yunet_2023mar.onnx	227 KB	Download
models/face_detection_yunet/face_detection_yunet_2023mar_int8.onnx	98.1 KB	Download
models/face_detection_yunet/face_detection_yunet_2023mar_int8bq.onnx	120 KB	Download
models/face_image_quality_assessment_ediffiqa/ediffiqa_tiny_jun2024.onnx	6.9 MB	Download
models/face_recognition_sface/face_recognition_sface_2021dec.onnx	36.9 MB	Download
models/face_recognition_sface/face_recognition_sface_2021dec_int8.onnx	9.4 MB	Download
models/face_recognition_sface/face_recognition_sface_2021dec_int8bq.onnx	10.2 MB	Download
models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july.onnx	4.6 MB	Download

Showing 10 of 70 .onnx files — see the full file list on the right.

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

OpenCV Zoo and Benchmark

A zoo for models tuned for OpenCV DNN with benchmarks on different platforms.

Guidelines:

Install latest opencv-python:

python3 -m pip install opencv-python
# Or upgrade to latest version
python3 -m pip install --upgrade opencv-python

Clone this repo to download all models and demo scripts:

# Install git-lfs from https://git-lfs.github.com/
git clone https://github.com/opencv/opencv_zoo && cd opencv_zoo
git lfs install
git lfs pull

To run benchmarks on your hardware settings, please refer to benchmark/README.

Models & Benchmark Results

Hardware Setup:

x86-64:

Intel Core i7-12700K: 8 Performance-cores (3.60 GHz, turbo up to 4.90 GHz), 4 Efficient-cores (2.70 GHz, turbo up to 3.80 GHz), 20 threads.

ARM:

Khadas VIM3: Amlogic A311D SoC with a 2.2GHz Quad core ARM Cortex-A73 + 1.8GHz dual core Cortex-A53 ARM CPU, and a 5 TOPS NPU. Benchmarks are done using per-tensor quantized models. Follow this guide to build OpenCV with TIM-VX backend enabled.
Khadas VIM4: Amlogic A311D2 SoC with 2.2GHz Quad core ARM Cortex-A73 and 2.0GHz Quad core Cortex-A53 CPU, and 3.2 TOPS Build-in NPU.
Khadas Edge 2: Rockchip RK3588S SoC with a CPU of 2.25 GHz Quad Core ARM Cortex-A76 + 1.8 GHz Quad Core Cortex-A55, and a 6 TOPS NPU.
Atlas 200 DK: Ascend 310 NPU with 22 TOPS @ INT8. Follow this guide to build OpenCV with CANN backend enabled.
Atlas 200I DK A2: SoC with 1.0GHz Quad-core CPU and Ascend 310B NPU with 8 TOPS @ INT8.
NVIDIA Jetson Nano B01: a Quad-core ARM A57 @ 1.43 GHz CPU, and a 128-core NVIDIA Maxwell GPU.
NVIDIA Jetson Nano Orin: a 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, and a 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (max freq 625MHz).
Raspberry Pi 4B: Broadcom BCM2711 SoC with a Quad core Cortex-A72 (ARM v8) 64-bit @ 1.5 GHz.
Horizon Sunrise X3: an SoC from Horizon Robotics with a quad-core ARM Cortex-A53 1.2 GHz CPU and a 5 TOPS BPU (a.k.a NPU).
MAIX-III AXera-Pi: Axera AX620A SoC with a quad-core ARM Cortex-A7 CPU and a 3.6 TOPS @ int8 NPU.
Toybrick RV1126: Rockchip RV1126 SoC with a quard-core ARM Cortex-A7 CPU and a 2.0 TOPs NPU.

RISC-V:

StarFive VisionFive 2: StarFive JH7110 SoC with a RISC-V quad-core CPU, which can turbo up to 1.5GHz, and an GPU of model IMG BXE-4-32 MC1 from Imagination, which has a work freq up to 600MHz.
Allwinner Nezha D1: Allwinner D1 SoC with a 1.0 GHz single-core RISC-V Xuantie C906 CPU with RVV 0.7.1 support. YuNet is tested for now. Visit here for more details.

Important Notes:

The data under each column of hardware setups on the above table represents the elapsed time of an inference (preprocess, forward and postprocess).
The time data is the mean of 10 runs after some warmup runs. Different metrics may be applied to some specific models.
Batch size is 1 for all benchmark results.
--- represents the model is not availble to run on the device.
View benchmark/config for more details on benchmarking different models.

Some Examples

Some examples are listed below. You can find more in the directory of each model!

Face Detection with YuNet

largest selfie

Face Recognition with SFace

sface demo

Facial Expression Recognition with Progressive Teacher

fer demo

Human Segmentation with PP-HumanSeg

messi

Image Segmentation with EfficientSAM

sam_present

License Plate Detection with LPD_YuNet

license plate detection

Object Detection with NanoDet & YOLOX

nanodet demo

yolox demo

Object Tracking with VitTrack

webcam demo

Palm Detection with MP-PalmDet

palm det

Hand Pose Estimation with MP-HandPose

handpose estimation

Person Detection with MP-PersonDet

person det

Pose Estimation with MP-Pose

pose_estimation

QR Code Detection and Parsing with WeChatQRCode

qrcode

Chinese Text detection PPOCR-Det

mask

English Text detection PPOCR-Det

gsoc

Text Detection with CRNN

crnn_demo

License

OpenCV Zoo is licensed under the Apache 2.0 license. Please refer to licenses of different models.

Model info

onnx region:us

↓ 0 ♥ 3

Created: 2025-05-27

Updated: 2025-06-05

View on Hugging Face

Files (324)

.gitattributes

.gitignore

LICENSE

README.md

benchmark/README.md

benchmark/benchmark.py

benchmark/color_table.svg

benchmark/config/face_detection_yunet.yaml

benchmark/config/face_recognition_sface.yaml

benchmark/config/facial_expression_recognition.yaml

benchmark/config/handpose_estimation_mediapipe.yaml

benchmark/config/human_segmentation_pphumanseg.yaml

benchmark/config/image_classification_mobilenet.yaml

benchmark/config/image_classification_ppresnet.yaml

benchmark/config/license_plate_detection_yunet.yaml

benchmark/config/object_detection_nanodet.yaml

benchmark/config/object_detection_yolox.yaml

benchmark/config/object_tracking_vittrack.yaml

benchmark/config/palm_detection_mediapipe.yaml

benchmark/config/person_detection_mediapipe.yaml

benchmark/config/person_reid_youtureid.yaml

benchmark/config/pose_estimation_mediapipe.yaml

benchmark/config/qrcode_wechatqrcode.yaml

benchmark/config/text_detection_ppocr.yaml

benchmark/config/text_recognition_crnn.yaml

benchmark/data/.gitignore

benchmark/download_data.py

benchmark/generate_table.py

benchmark/requirements.txt

benchmark/table_config.yaml

benchmark/utils/__init__.py

benchmark/utils/dataloaders/__init__.py

benchmark/utils/dataloaders/base.py

benchmark/utils/dataloaders/base_dataloader.py

benchmark/utils/dataloaders/classification.py

benchmark/utils/dataloaders/recognition.py

benchmark/utils/dataloaders/tracking.py

benchmark/utils/factory.py

benchmark/utils/metrics/__init__.py

benchmark/utils/metrics/base.py

benchmark/utils/metrics/base_metric.py

benchmark/utils/metrics/detection.py

benchmark/utils/metrics/recognition.py

benchmark/utils/metrics/tracking.py

benchmark/utils/timer.py

models/__init__.py

models/deblurring_nafnet/CMakeLists.txt

models/deblurring_nafnet/LICENSE

models/deblurring_nafnet/README.md

models/deblurring_nafnet/deblurring_nafnet_2025may.onnx 87.5 MB ONNX

models/deblurring_nafnet/demo.cpp

models/deblurring_nafnet/demo.py

models/deblurring_nafnet/example_outputs/licenseplate_motion.jpg

models/deblurring_nafnet/example_outputs/licenseplate_motion_output.jpg

models/deblurring_nafnet/nafnet.py

models/edge_detection_dexined/CMakeLists.txt

models/edge_detection_dexined/LICENSE

models/edge_detection_dexined/README.md

models/edge_detection_dexined/demo.cpp

models/edge_detection_dexined/demo.py

models/edge_detection_dexined/dexined.py

models/edge_detection_dexined/edge_detection_dexined_2024sep.onnx 45.0 MB ONNX

models/edge_detection_dexined/example_outputs/chicky.jpg

models/edge_detection_dexined/example_outputs/chicky_output.jpg

models/face_detection_yunet/CMakeLists.txt

models/face_detection_yunet/LICENSE

models/face_detection_yunet/README.md

models/face_detection_yunet/demo.cpp

models/face_detection_yunet/demo.py

models/face_detection_yunet/example_outputs/largest_selfie.jpg

models/face_detection_yunet/example_outputs/yunet_demo.gif

models/face_detection_yunet/face_detection_yunet_2023mar.onnx 227 KB ONNX

models/face_detection_yunet/face_detection_yunet_2023mar_int8.onnx 98.1 KB ONNX

models/face_detection_yunet/face_detection_yunet_2023mar_int8bq.onnx 120 KB ONNX

models/face_detection_yunet/yunet.py

models/face_image_quality_assessment_ediffiqa/LICENSE

models/face_image_quality_assessment_ediffiqa/README.md

models/face_image_quality_assessment_ediffiqa/demo.py

models/face_image_quality_assessment_ediffiqa/ediffiqa.py

models/face_image_quality_assessment_ediffiqa/ediffiqa_tiny_jun2024.onnx 6.9 MB ONNX

models/face_image_quality_assessment_ediffiqa/example_outputs/demo.jpg

models/face_image_quality_assessment_ediffiqa/quality_distribution.png

models/face_recognition_sface/CMakeLists.txt

models/face_recognition_sface/LICENSE

models/face_recognition_sface/README.md

models/face_recognition_sface/demo.cpp

models/face_recognition_sface/demo.py

models/face_recognition_sface/example_outputs/demo.jpg

models/face_recognition_sface/face_recognition_sface_2021dec.onnx 36.9 MB ONNX

models/face_recognition_sface/face_recognition_sface_2021dec_int8.onnx 9.4 MB ONNX

models/face_recognition_sface/face_recognition_sface_2021dec_int8bq.onnx 10.2 MB ONNX

models/face_recognition_sface/sface.py

models/facial_expression_recognition/CMakeLists.txt

models/facial_expression_recognition/README.md

models/facial_expression_recognition/demo.cpp

models/facial_expression_recognition/demo.py

models/facial_expression_recognition/example_outputs/selfie.jpg

models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july.onnx 4.6 MB ONNX

models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july_int8.onnx 1.3 MB ONNX

models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july_int8bq.onnx 1.3 MB ONNX

models/facial_expression_recognition/facial_fer_model.py

models/handpose_estimation_mediapipe/LICENSE

models/handpose_estimation_mediapipe/README.md

models/handpose_estimation_mediapipe/demo.py

models/handpose_estimation_mediapipe/example_outputs/gesture_classification.png

models/handpose_estimation_mediapipe/example_outputs/hand_keypoints.png

models/handpose_estimation_mediapipe/example_outputs/mphandpose_demo.webp

models/handpose_estimation_mediapipe/handpose_estimation_mediapipe_2023feb.onnx 3.9 MB ONNX

models/handpose_estimation_mediapipe/handpose_estimation_mediapipe_2023feb_int8.onnx 1.1 MB ONNX

models/handpose_estimation_mediapipe/handpose_estimation_mediapipe_2023feb_int8bq.onnx 1.2 MB ONNX

models/handpose_estimation_mediapipe/mp_handpose.py

models/human_segmentation_pphumanseg/CMakeLists.txt

models/human_segmentation_pphumanseg/LICENSE

models/human_segmentation_pphumanseg/README.md

models/human_segmentation_pphumanseg/demo.cpp

models/human_segmentation_pphumanseg/demo.py

models/human_segmentation_pphumanseg/example_outputs/messi.jpg

models/human_segmentation_pphumanseg/example_outputs/pphumanseg_demo.gif

models/human_segmentation_pphumanseg/human_segmentation_pphumanseg_2023mar.onnx 5.9 MB ONNX

models/human_segmentation_pphumanseg/human_segmentation_pphumanseg_2023mar_int8.onnx 1.5 MB ONNX

models/human_segmentation_pphumanseg/human_segmentation_pphumanseg_2023mar_int8bq.onnx 1.7 MB ONNX

models/human_segmentation_pphumanseg/pphumanseg.py

models/image_classification_mobilenet/CMakeLists.txt

models/image_classification_mobilenet/LICENSE

models/image_classification_mobilenet/README.md

models/image_classification_mobilenet/demo.cpp

models/image_classification_mobilenet/demo.py

models/image_classification_mobilenet/image_classification_mobilenetv1_2022apr.onnx 16.1 MB ONNX

models/image_classification_mobilenet/image_classification_mobilenetv1_2022apr_int8.onnx 4.1 MB ONNX

models/image_classification_mobilenet/image_classification_mobilenetv1_2022apr_int8bq.onnx 4.4 MB ONNX

models/image_classification_mobilenet/image_classification_mobilenetv2_2022apr.onnx 13.3 MB ONNX

models/image_classification_mobilenet/image_classification_mobilenetv2_2022apr_int8.onnx 3.5 MB ONNX

models/image_classification_mobilenet/image_classification_mobilenetv2_2022apr_int8bq.onnx 3.7 MB ONNX

models/image_classification_mobilenet/labelsimagenet1k.h

models/image_classification_mobilenet/mobilenet.py

models/image_classification_ppresnet/CMakeLists.txt

models/image_classification_ppresnet/LICENSE

models/image_classification_ppresnet/README.md

models/image_classification_ppresnet/demo.cpp

models/image_classification_ppresnet/demo.py

models/image_classification_ppresnet/image_classification_ppresnet50_2022jan.onnx 97.8 MB ONNX

models/image_classification_ppresnet/image_classification_ppresnet50_2022jan_int8.onnx 24.5 MB ONNX

models/image_classification_ppresnet/image_classification_ppresnet50_2022jan_int8bq.onnx 26.8 MB ONNX

models/image_classification_ppresnet/ppresnet.py

models/image_segmentation_efficientsam/LICENSE

models/image_segmentation_efficientsam/README.md

models/image_segmentation_efficientsam/demo.py

models/image_segmentation_efficientsam/efficientSAM.py

models/image_segmentation_efficientsam/example_outputs/example1.png

models/image_segmentation_efficientsam/example_outputs/example2.png

models/image_segmentation_efficientsam/example_outputs/sam_present.gif

models/image_segmentation_efficientsam/image_segmentation_efficientsam_ti_2024may.onnx 45.6 MB ONNX

models/image_segmentation_efficientsam/image_segmentation_efficientsam_ti_2025april.onnx 46.1 MB ONNX

models/image_segmentation_efficientsam/image_segmentation_efficientsam_ti_2025april_int8.onnx 19.5 MB ONNX

models/inpainting_lama/CMakeLists.txt

models/inpainting_lama/LICENSE

models/inpainting_lama/README.md

models/inpainting_lama/demo.cpp

models/inpainting_lama/demo.py

models/inpainting_lama/example_outputs/squirrel.jpg

models/inpainting_lama/example_outputs/squirrel_output.jpg

models/inpainting_lama/inpainting_lama_2025jan.onnx 88.3 MB ONNX

models/inpainting_lama/lama.py

models/license_plate_detection_yunet/LICENSE

models/license_plate_detection_yunet/README.md

models/license_plate_detection_yunet/demo.py

models/license_plate_detection_yunet/example_outputs/lpd_yunet_demo.gif

models/license_plate_detection_yunet/example_outputs/result-1.jpg

models/license_plate_detection_yunet/example_outputs/result-2.jpg

models/license_plate_detection_yunet/example_outputs/result-3.jpg

models/license_plate_detection_yunet/example_outputs/result-4.jpg

models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2023mar.onnx 4.0 MB ONNX

models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2023mar_int8.onnx 1.0 MB ONNX

models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2023mar_int8bq.onnx 1.1 MB ONNX

models/license_plate_detection_yunet/lpd_yunet.py

models/object_detection_nanodet/CMakeLists.txt

models/object_detection_nanodet/LICENSE

models/object_detection_nanodet/README.md

models/object_detection_nanodet/demo.cpp

models/object_detection_nanodet/demo.py

models/object_detection_nanodet/example_outputs/1_res.jpg

models/object_detection_nanodet/example_outputs/2_res.jpg

models/object_detection_nanodet/example_outputs/3_res.jpg

models/object_detection_nanodet/example_outputs/WebCamR.gif

models/object_detection_nanodet/nanodet.py

models/object_detection_nanodet/object_detection_nanodet_2022nov.onnx 3.6 MB ONNX

models/object_detection_nanodet/object_detection_nanodet_2022nov_int8.onnx 1007 KB ONNX

models/object_detection_nanodet/object_detection_nanodet_2022nov_int8bq.onnx 1.1 MB ONNX

models/object_detection_yolox/CMakeLists.txt

models/object_detection_yolox/LICENSE

models/object_detection_yolox/README.md

models/object_detection_yolox/demo.cpp

models/object_detection_yolox/demo.py

models/object_detection_yolox/example_outputs/1_res.jpg

models/object_detection_yolox/example_outputs/2_res.jpg

models/object_detection_yolox/example_outputs/3_res.jpg

models/object_detection_yolox/object_detection_yolox_2022nov.onnx 34.2 MB ONNX

models/object_detection_yolox/object_detection_yolox_2022nov_int8.onnx 8.7 MB ONNX

models/object_detection_yolox/object_detection_yolox_2022nov_int8bq.onnx 9.3 MB ONNX

models/object_detection_yolox/yolox.py

models/object_tracking_vittrack/CMakeLists.txt

models/object_tracking_vittrack/LICENSE

models/object_tracking_vittrack/README.md

models/object_tracking_vittrack/demo.cpp

models/object_tracking_vittrack/demo.py

models/object_tracking_vittrack/example_outputs/vittrack_demo.gif

models/object_tracking_vittrack/object_tracking_vittrack_2023sep.onnx 698 KB ONNX

models/object_tracking_vittrack/object_tracking_vittrack_2023sep_int8bq.onnx 265 KB ONNX

models/object_tracking_vittrack/vittrack.py

models/optical_flow_estimation_raft/BSD-3-LICENSE.txt

models/optical_flow_estimation_raft/MITLICENSE.txt

models/optical_flow_estimation_raft/README.md

models/optical_flow_estimation_raft/demo.py

models/optical_flow_estimation_raft/example_outputs/result.jpg

models/optical_flow_estimation_raft/example_outputs/vis.png

models/optical_flow_estimation_raft/optical_flow_estimation_raft_2023aug.onnx 61.1 MB ONNX

models/optical_flow_estimation_raft/optical_flow_estimation_raft_2023aug_int8bq.onnx 46.6 MB ONNX

models/optical_flow_estimation_raft/raft.py

models/palm_detection_mediapipe/CMakeLists.txt

models/palm_detection_mediapipe/LICENSE

models/palm_detection_mediapipe/README.md

models/palm_detection_mediapipe/demo.cpp

models/palm_detection_mediapipe/demo.py

models/palm_detection_mediapipe/example_outputs/mppalmdet_demo.gif

models/palm_detection_mediapipe/mp_palmdet.py

models/palm_detection_mediapipe/palm_detection_mediapipe_2023feb.onnx 3.7 MB ONNX

models/palm_detection_mediapipe/palm_detection_mediapipe_2023feb_int8.onnx 1.1 MB ONNX

models/palm_detection_mediapipe/palm_detection_mediapipe_2023feb_int8bq.onnx 1.1 MB ONNX

models/person_detection_mediapipe/CMakeLists.txt

models/person_detection_mediapipe/LICENSE

models/person_detection_mediapipe/README.md

models/person_detection_mediapipe/demo.cpp

models/person_detection_mediapipe/demo.py

models/person_detection_mediapipe/example_outputs/mppersondet_demo.webp

models/person_detection_mediapipe/mp_persondet.py

models/person_detection_mediapipe/person_detection_mediapipe_2023mar.onnx 11.4 MB ONNX

models/person_detection_mediapipe/person_detection_mediapipe_2023mar_int8bq.onnx 3.3 MB ONNX

models/person_reid_youtureid/CMakeLists.txt

models/person_reid_youtureid/LICENSE

models/person_reid_youtureid/README.md

models/person_reid_youtureid/demo.cpp

models/person_reid_youtureid/demo.py

models/person_reid_youtureid/person_reid_youtu_2021nov.onnx 102 MB ONNX

models/person_reid_youtureid/person_reid_youtu_2021nov_int8.onnx 25.5 MB ONNX

models/person_reid_youtureid/person_reid_youtu_2021nov_int8bq.onnx 27.9 MB ONNX

models/person_reid_youtureid/youtureid.py

models/pose_estimation_mediapipe/CMakeLists.txt

models/pose_estimation_mediapipe/LICENSE

models/pose_estimation_mediapipe/README.md

models/pose_estimation_mediapipe/demo.cpp

models/pose_estimation_mediapipe/demo.py

models/pose_estimation_mediapipe/example_outputs/mpposeest_demo.webp

models/pose_estimation_mediapipe/example_outputs/pose_landmarks.png

models/pose_estimation_mediapipe/mp_pose.py

models/pose_estimation_mediapipe/pose_estimation_mediapipe_2023mar.onnx 5.3 MB ONNX

models/pose_estimation_mediapipe/pose_estimation_mediapipe_2023mar_int8bq.onnx 1.6 MB ONNX

models/qrcode_wechatqrcode/CMakeLists.txt

models/qrcode_wechatqrcode/LICENSE

models/qrcode_wechatqrcode/README.md

models/qrcode_wechatqrcode/demo.cpp

models/qrcode_wechatqrcode/demo.py

models/qrcode_wechatqrcode/detect_2021nov.caffemodel

models/qrcode_wechatqrcode/detect_2021nov.prototxt

models/qrcode_wechatqrcode/example_outputs/wechat_qrcode_demo.gif

models/qrcode_wechatqrcode/sr_2021nov.caffemodel

models/qrcode_wechatqrcode/sr_2021nov.prototxt

models/qrcode_wechatqrcode/wechatqrcode.py

models/text_detection_ppocr/CMakeLists.txt

models/text_detection_ppocr/LICENSE

models/text_detection_ppocr/README.md

models/text_detection_ppocr/demo.cpp

models/text_detection_ppocr/demo.py

models/text_detection_ppocr/example_outputs/gsoc.jpg

models/text_detection_ppocr/example_outputs/mask.jpg

models/text_detection_ppocr/ppocr_det.py

models/text_detection_ppocr/text_detection_cn_ppocrv3_2023may.onnx 2.3 MB ONNX

models/text_detection_ppocr/text_detection_cn_ppocrv3_2023may_int8.onnx 688 KB ONNX

models/text_detection_ppocr/text_detection_cn_ppocrv3_2023may_int8bq.onnx 835 KB ONNX

models/text_detection_ppocr/text_detection_en_ppocrv3_2023may.onnx 2.3 MB ONNX

models/text_detection_ppocr/text_detection_en_ppocrv3_2023may_int8.onnx 688 KB ONNX

models/text_detection_ppocr/text_detection_en_ppocrv3_2023may_int8bq.onnx 835 KB ONNX

models/text_recognition_crnn/CMakeLists.txt

models/text_recognition_crnn/LICENSE

models/text_recognition_crnn/README.md

models/text_recognition_crnn/charset_32_94_3944.h

models/text_recognition_crnn/crnn.py

models/text_recognition_crnn/demo.cpp

models/text_recognition_crnn/demo.py

models/text_recognition_crnn/example_outputs/CRNNCTC.gif

models/text_recognition_crnn/example_outputs/demo.jpg

models/text_recognition_crnn/text_recognition_CRNN_CH_2021sep.onnx 61.9 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CH_2021sep_int8bq.onnx 25.6 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CH_2022oct_int8.onnx 24.6 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CH_2023feb_fp16.onnx 31.0 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CN_2021nov.onnx 69.4 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CN_2021nov_int8.onnx 26.4 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_CN_2021nov_int8bq.onnx 27.7 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_EN_2021sep.onnx 32.3 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_EN_2022oct_int8.onnx 15.6 MB ONNX

models/text_recognition_crnn/text_recognition_CRNN_EN_2023feb_fp16.onnx 16.1 MB ONNX

reports/2023-4.9.0/assets/benchmark_table_4.9.0.png

reports/2023-4.9.0/opencv_zoo_report-cn-2023-4.9.0.md

reports/2023-4.9.0/opencv_zoo_report-en-2023-4.9.0.md

reports/README.md

tools/eval/README.md

tools/eval/datasets/__init__.py

tools/eval/datasets/icdar.py

tools/eval/datasets/iiit5k.py

tools/eval/datasets/imagenet.py

tools/eval/datasets/lfw.py

tools/eval/datasets/lfw_face_bboxes.npy

tools/eval/datasets/minisupervisely.py

tools/eval/datasets/widerface.py

tools/eval/eval.py

tools/quantize/README.md

tools/quantize/block_quantize.py

tools/quantize/inc_configs/fer.yaml

tools/quantize/inc_configs/lpd_yunet.yaml

tools/quantize/inc_configs/mobilenet.yaml

tools/quantize/inc_configs/mp_handpose.yaml

tools/quantize/quantize-inc.py

tools/quantize/quantize-ort.py

tools/quantize/requirements.txt

tools/quantize/transform.py

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