mirror of
https://github.com/opencv/opencv.git
synced 2026-07-28 06:43:01 +04:00
omrope79
04aee009aa
[FOLLOW UP] : Documentation optimizations for the new Sphinx structure #29220 ### Pull Request Readiness Checklist This PR serves as a follow-up to the new documentation system introduced in [#29206](https://github.com/opencv/opencv/pull/29206) Co-authored by: @abhishek-gola @kirtijindal14 @Akansha-977 @Prasadayus @varun-jaiswal17 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
518 lines
18 KiB
YAML
518 lines
18 KiB
YAML
%YAML 1.0
|
|
---
|
|
################################################################################
|
|
# Object detection models.
|
|
################################################################################
|
|
|
|
# YOLOv8 object detection family from ultralytics (https://github.com/ultralytics/ultralytics)
|
|
# Might be used for all YOLOv8n YOLOv8s YOLOv8m YOLOv8l and YOLOv8x
|
|
yolov8x:
|
|
load_info:
|
|
url: "https://huggingface.co/cabelo/yolov8/resolve/main/yolov8x.onnx?download=true"
|
|
sha1: "462f15d668c046d38e27d3df01fe8142dd004cb4"
|
|
model: "yolov8x.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov8"
|
|
sample: "object_detection"
|
|
|
|
yolov8s:
|
|
load_info:
|
|
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8s.onnx"
|
|
sha1: "82cd83984396fe929909ecb58212b0e86d0904b1"
|
|
model: "yolov8s.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov8"
|
|
sample: "object_detection"
|
|
|
|
yolov8:
|
|
load_info:
|
|
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8n.onnx"
|
|
sha1: "68f864475d06e2ec4037181052739f268eeac38d"
|
|
model: "yolov8n.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov8"
|
|
sample: "object_detection"
|
|
|
|
yolov8m:
|
|
load_info:
|
|
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8m.onnx"
|
|
sha1: "656ffeb4f3b067bc30df956728b5f9c61a4cb090"
|
|
model: "yolov8m.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov8"
|
|
sample: "object_detection"
|
|
|
|
yolov8l:
|
|
load_info:
|
|
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8l.onnx"
|
|
sha1: "462df53ca3a85d110bf6be7fc2e2bb1277124395"
|
|
model: "yolov8l.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov8"
|
|
sample: "object_detection"
|
|
|
|
# YOLOv5 object detection family from ultralytics (https://github.com/ultralytics/ultralytics)
|
|
# Might be used for all YOLOv5n YOLOv5s YOLOv5m YOLOv5l and YOLOv5x
|
|
|
|
yolov5l:
|
|
load_info:
|
|
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov5l.onnx"
|
|
sha1: "9de7e54c524b7fe7577bbd4cdbbdaed53375c8f1"
|
|
model: "yolov5l.onnx"
|
|
mean: 0.0
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov5"
|
|
sample: "object_detection"
|
|
|
|
yolov4:
|
|
load_info:
|
|
url: "https://huggingface.co/opencv/opencv_contribution/resolve/main/yolov4/yolov4.onnx"
|
|
sha1: "68df7133bef095d79531ad62d79295d82614de3b"
|
|
model: "yolov4.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
width: 608
|
|
height: 608
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov4"
|
|
sample: "object_detection"
|
|
|
|
yolov4-tiny:
|
|
load_info:
|
|
url: "https://huggingface.co/opencv/opencv_contribution/resolve/main/yolov4/yolov4-tiny.onnx"
|
|
sha1: "158a74e9c6da57f5e4161c5dfc1ab592f47d958a"
|
|
model: "yolov4-tiny.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
width: 416
|
|
height: 416
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov4"
|
|
sample: "object_detection"
|
|
|
|
yolov3:
|
|
load_info:
|
|
url: "https://huggingface.co/qualcomm/Yolo-v3/resolve/226ada6de9dcb32eebad7f74bf526714e2af6136/Yolo-v3.onnx"
|
|
sha1: "c37641ddf05cfe133efd4b66832f269d95f523cf"
|
|
model: "yolov3.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
width: 640
|
|
height: 640
|
|
rgb: true
|
|
labels: "object_detection_classes_yolo.txt"
|
|
postprocessing: "yolov4"
|
|
sample: "object_detection"
|
|
|
|
# Caffe implementation of SSD model from https://github.com/PINTO0309/MobileNet-SSD-RealSense
|
|
ssd_caffe:
|
|
load_info:
|
|
url: "https://github.com/PINTO0309/MobileNet-SSD-RealSense/raw/refs/heads/master/caffemodel/MobileNetSSD/MobileNetSSD_deploy.caffemodel"
|
|
sha1: "994d30a8afaa9e754d17d2373b2d62a7dfbaaf7a"
|
|
model: "MobileNetSSD_deploy.caffemodel"
|
|
config_load_info:
|
|
url: "https://github.com/PINTO0309/MobileNet-SSD-RealSense/raw/refs/heads/master/caffemodel/MobileNetSSD/MobileNetSSD_deploy.prototxt"
|
|
sha1: "25c8404cecdef638c2bd9ac7f3b46a8b96897deb"
|
|
config: "MobileNetSSD_deploy.prototxt"
|
|
mean: [127.5, 127.5, 127.5]
|
|
scale: 0.007843
|
|
width: 300
|
|
height: 300
|
|
rgb: false
|
|
labels: "object_detection_classes_pascal_voc.txt"
|
|
postprocessing: "ssd"
|
|
sample: "object_detection"
|
|
|
|
# TensorFlow implementation of SSD model from https://github.com/tensorflow/models/tree/master/research/object_detection
|
|
ssd_tf:
|
|
load_info:
|
|
url: "http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz"
|
|
sha1: "9e4bcdd98f4c6572747679e4ce570de4f03a70e2"
|
|
download_sha: "6157ddb6da55db2da89dd561eceb7f944928e317"
|
|
download_name: "ssd_mobilenet_v1_coco_2017_11_17.tar.gz"
|
|
member: "ssd_mobilenet_v1_coco_2017_11_17/frozen_inference_graph.pb"
|
|
model: "ssd_mobilenet_v1_coco_2017_11_17.pb"
|
|
config_load_info:
|
|
url: "https://github.com/opencv/opencv_extra/raw/refs/heads/4.x/testdata/dnn/ssd_mobilenet_v1_coco_2017_11_17.pbtxt"
|
|
sha1: "c7cf985ce0a4a8953daaa4b8cacdd3c8e31437a6"
|
|
config: "ssd_mobilenet_v1_coco_2017_11_17.pbtxt"
|
|
mean: [0, 0, 0]
|
|
scale: 1.0
|
|
width: 300
|
|
height: 300
|
|
rgb: true
|
|
labels: "object_detection_classes_coco.txt"
|
|
postprocessing: "ssd"
|
|
sample: "object_detection"
|
|
|
|
# TensorFlow implementation of Faster-RCNN model from https://github.com/tensorflow/models/tree/master/research/object_detection
|
|
faster_rcnn_tf:
|
|
load_info:
|
|
url: "http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz"
|
|
sha1: "f2e4bf386b9bb3e25ddfcbbd382c20f417e444f3"
|
|
download_sha: "c710f25e5c6a3ce85fe793d5bf266d581ab1c230"
|
|
download_name: "faster_rcnn_inception_v2_coco_2018_01_28.tar.gz"
|
|
member: "faster_rcnn_inception_v2_coco_2018_01_28/frozen_inference_graph.pb"
|
|
model: "faster_rcnn_inception_v2_coco_2018_01_28.pb"
|
|
config_load_info:
|
|
url: "https://github.com/opencv/opencv_extra/raw/refs/heads/4.x/testdata/dnn/faster_rcnn_inception_v2_coco_2018_01_28.pbtxt"
|
|
sha1: "059ee437fb4d6f82a6f1d2b3c7a8dd54c107687f"
|
|
config: "faster_rcnn_inception_v2_coco_2018_01_28.pbtxt"
|
|
mean: [0, 0, 0]
|
|
scale: 1.0
|
|
width: 800
|
|
height: 600
|
|
rgb: true
|
|
postprocessing: "ssd"
|
|
sample: "object_detection"
|
|
|
|
################################################################################
|
|
# Image classification models.
|
|
################################################################################
|
|
|
|
squeezenet:
|
|
load_info:
|
|
url: "https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.1-7.onnx?download="
|
|
sha1: "ec31942d17715941bb9b81f3a91dc59def9236be"
|
|
model: "squeezenet1.1-7.onnx"
|
|
mean: [0.485, 0.456, 0.406]
|
|
std: [0.229, 0.224, 0.225]
|
|
scale: 0.003921
|
|
width: 224
|
|
height: 224
|
|
rgb: true
|
|
labels: "classification_classes_ILSVRC2012.txt"
|
|
sample: "classification"
|
|
|
|
googlenet:
|
|
load_info:
|
|
url: "https://github.com/onnx/models/raw/69c5d3751dda5349fd3fc53f525395d180420c07/vision/classification/inception_and_googlenet/googlenet/model/googlenet-8.onnx"
|
|
sha1: "da39a3ee5e6b4b0d3255bfef95601890afd80709"
|
|
model: "googlenet-8.onnx"
|
|
mean: [103.939, 116.779, 123.675]
|
|
std: [1, 1, 1]
|
|
scale: 1.0
|
|
width: 224
|
|
height: 224
|
|
rgb: false
|
|
labels: "classification_classes_ILSVRC2012.txt"
|
|
sample: "classification"
|
|
|
|
resnet:
|
|
load_info:
|
|
url: "https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet50-v2-7.onnx"
|
|
sha1: "c3a67b3cb2f0a61a7eb75eb8bd9139c89557cbe0"
|
|
model: "resnet50-v2-7.onnx"
|
|
mean: [123.675, 116.28, 103.53]
|
|
std: [58.395, 57.12, 57.375]
|
|
scale: 1.0
|
|
width: 224
|
|
height: 224
|
|
rgb: true
|
|
labels: "classification_classes_ILSVRC2012.txt"
|
|
sample: "classification"
|
|
|
|
################################################################################
|
|
# Semantic segmentation models.
|
|
################################################################################
|
|
|
|
fcnresnet50:
|
|
load_info:
|
|
url: "https://github.com/onnx/models/raw/491ce05590abb7551d7fae43c067c060eeb575a6/validated/vision/object_detection_segmentation/fcn/model/fcn-resnet50-12.onnx"
|
|
sha1: "1bb0c7e0034038969aecc6251166f1612a139230"
|
|
model: "fcn-resnet50-12.onnx"
|
|
mean: [103.5, 116.2, 123.6]
|
|
scale: 0.019
|
|
width: 500
|
|
height: 500
|
|
rgb: false
|
|
sample: "segmentation"
|
|
|
|
fcnresnet101:
|
|
load_info:
|
|
url: "https://github.com/onnx/models/raw/fb8271d5d5d9b90dbb1eb5e8e40f8f580fb248b3/vision/object_detection_segmentation/fcn/model/fcn-resnet101-11.onnx"
|
|
sha1: "e7e76474bf6b73334ab32c4be1374c9e605f5aed"
|
|
model: "fcn-resnet101-11.onnx"
|
|
mean: [103.5, 116.2, 123.6]
|
|
scale: 0.019
|
|
width: 500
|
|
height: 500
|
|
rgb: false
|
|
sample: "segmentation"
|
|
|
|
u2netp:
|
|
load_info:
|
|
url: "https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2netp.onnx"
|
|
sha1: "0a99236f0d5c1916a99a8c401b23e5ef32038606"
|
|
model: "u2netp.onnx"
|
|
mean: [123.6, 116.2, 103.5]
|
|
scale: 0.019
|
|
width: 320
|
|
height: 320
|
|
rgb: true
|
|
sample: "segmentation"
|
|
|
|
################################################################################
|
|
# Text detection models.
|
|
################################################################################
|
|
|
|
DB:
|
|
load_info:
|
|
url: "https://drive.google.com/uc?export=dowload&id=17_ABp79PlFt9yPCxSaarVc_DKTmrSGGf"
|
|
sha1: "bef233c28947ef6ec8c663d20a2b326302421fa3"
|
|
model: "DB_IC15_resnet50.onnx"
|
|
ocr_load_info:
|
|
ocr_url: "https://drive.google.com/uc?export=dowload&id=159VavnbvfBQkLIPSAu2SP5Yij1Fy4azw"
|
|
ocr_sha1: "c4ab1fb3f13c1c8ffc04f016e72ec85311de4ebe"
|
|
ocr_model: "VGG_CTC.onnx"
|
|
mean: [122.67891434, 116.66876762, 104.00698793]
|
|
scale: 0.00392
|
|
width: 736
|
|
height: 736
|
|
rgb: false
|
|
sample: "text_detection"
|
|
|
|
East:
|
|
load_info:
|
|
url: "https://www.dropbox.com/s/r2ingd0l3zt8hxs/frozen_east_text_detection.tar.gz?dl=1"
|
|
sha1: "fffabf5ac36f37bddf68e34e84b45f5c4247ed06"
|
|
download_name: "frozen_east_text_detection.tar.gz"
|
|
download_sha: "3ca8233d6edd748f7ed23246c8ca24cbf696bb94"
|
|
model: "frozen_east_text_detection.pb"
|
|
ocr_load_info:
|
|
ocr_url: "https://drive.google.com/uc?export=dowload&id=159VavnbvfBQkLIPSAu2SP5Yij1Fy4azw"
|
|
ocr_sha1: "c4ab1fb3f13c1c8ffc04f016e72ec85311de4ebe"
|
|
ocr_model: "VGG_CTC.onnx"
|
|
mean: [123.68, 116.78, 103.94]
|
|
scale: 1.0
|
|
width: 736
|
|
height: 736
|
|
rgb: false
|
|
sample: "text_detection"
|
|
|
|
OCR:
|
|
load_info:
|
|
url: "https://drive.google.com/uc?export=dowload&id=159VavnbvfBQkLIPSAu2SP5Yij1Fy4azw"
|
|
sha1: "c4ab1fb3f13c1c8ffc04f016e72ec85311de4ebe"
|
|
model: "VGG_CTC.onnx"
|
|
sample: "text_recognition"
|
|
|
|
# Edge Detection models.
|
|
################################################################################
|
|
|
|
dexined:
|
|
load_info:
|
|
url: "https://github.com/opencv/opencv_zoo/raw/refs/heads/main/models/edge_detection_dexined/edge_detection_dexined_2024sep.onnx?download="
|
|
sha1: "f86f2d32c3cf892771f76b5e6b629b16a66510e9"
|
|
model: "edge_detection_dexined_2024sep.onnx"
|
|
mean: [103.5, 116.2, 123.6]
|
|
scale: 1.0
|
|
width: 512
|
|
height: 512
|
|
rgb: false
|
|
sample: "edge_detection"
|
|
|
|
################################################################################
|
|
# Edge Detection models.
|
|
################################################################################
|
|
|
|
reid:
|
|
load_info:
|
|
url: "https://github.com/opencv/opencv_zoo/raw/main/models/person_reid_youtureid/person_reid_youtu_2021nov.onnx?download="
|
|
sha1: "d4316b100db40f8840aa82626e1cf3f519a7f1ae"
|
|
model: "person_reid_youtu_2021nov.onnx"
|
|
yolo_load_info:
|
|
yolo_url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8n.onnx"
|
|
yolo_sha1: "68f864475d06e2ec4037181052739f268eeac38d"
|
|
yolo_model: "yolov8n.onnx"
|
|
mean: [0.485, 0.456, 0.406]
|
|
std: [0.229, 0.224, 0.225]
|
|
scale: 0.00392
|
|
yolo_scale: 0.00392
|
|
yolo_width: 640
|
|
yolo_height: 640
|
|
width: 128
|
|
height: 256
|
|
rgb: false
|
|
yolo_rgb: true
|
|
sample: "person_reid"
|
|
|
|
################################################################################
|
|
# Tracker models.
|
|
################################################################################
|
|
|
|
vit:
|
|
load_info:
|
|
url: "https://github.com/opencv/opencv_zoo/raw/fef72f8fa7c52eaf116d3df358d24e6e959ada0e/models/object_tracking_vittrack/object_tracking_vittrack_2023sep.onnx"
|
|
sha1: "50008bb4f6a27b1aa940ad886b1bd1936ac4ed3e"
|
|
model: "object_tracking_vittrack_2023sep.onnx"
|
|
sample: "object_tracker"
|
|
|
|
nanotrack:
|
|
nanotrack_head_load_info:
|
|
nanotrack_head_url: "https://github.com/HonglinChu/SiamTrackers/raw/refs/heads/master/NanoTrack/models/nanotrackv2/nanotrack_head_sim.onnx"
|
|
nanotrack_head_sha1: "39f168489671700cf739e402dfc67d41ce648aef"
|
|
nanotrack_head_model: "nanotrack_head_sim.onnx"
|
|
nanotrack_back_load_info:
|
|
nanotrack_back_url: "https://github.com/HonglinChu/SiamTrackers/raw/refs/heads/master/NanoTrack/models/nanotrackv2/nanotrack_backbone_sim.onnx"
|
|
nanotrack_back_sha1: "6e773a364457b78574f9f63a23b0659ee8646f8f"
|
|
nanotrack_back_model: "nanotrack_backbone_sim.onnx"
|
|
sample: "object_tracker"
|
|
|
|
dasiamrpn:
|
|
dasiamrpn_load_info:
|
|
dasiamrpn_url: "https://github.com/opencv/opencv_zoo/raw/fef72f8fa7c52eaf116d3df358d24e6e959ada0e/models/object_tracking_dasiamrpn/object_tracking_dasiamrpn_model_2021nov.onnx?download="
|
|
dasiamrpn_sha1: "91b774fce7df4c0e4918469f0f482d9a27d0e2d4"
|
|
dasiamrpn_model: "object_tracking_dasiamrpn_model_2021nov.onnx"
|
|
dasiamrpn_kernel_r1_load_info:
|
|
dasiamrpn_kernel_r1_url: "https://github.com/opencv/opencv_zoo/raw/fef72f8fa7c52eaf116d3df358d24e6e959ada0e/models/object_tracking_dasiamrpn/object_tracking_dasiamrpn_kernel_r1_2021nov.onnx?download="
|
|
dasiamrpn_kernel_r1_sha1: "bb64620a54348657133eb28be2d3a2a8c76b84b3"
|
|
dasiamrpn_kernel_r1_model: "object_tracking_dasiamrpn_kernel_cls1_2021nov.onnx"
|
|
dasiamrpn_kernel_cls_load_info:
|
|
dasiamrpn_kernel_cls_url: "https://github.com/opencv/opencv_zoo/raw/fef72f8fa7c52eaf116d3df358d24e6e959ada0e/models/object_tracking_dasiamrpn/object_tracking_dasiamrpn_kernel_cls1_2021nov.onnx?download="
|
|
dasiamrpn_kernel_cls_sha1: "e9ccd270ce8059bdf7ed0d1845c03ef4a951ee0f"
|
|
dasiamrpn_kernel_cls_model: "object_tracking_dasiamrpn_kernel_cls1_2021nov.onnx"
|
|
sample: "object_tracker"
|
|
|
|
################################################################################
|
|
# Inpainting models.
|
|
################################################################################
|
|
|
|
lama:
|
|
load_info:
|
|
url: "https://github.com/gursimarsingh/opencv_zoo/raw/0417e12d24bba41613ae0380bd698cca73a4fb17/models/inpainting_lama/inpainting_lama_2025jan.onnx?download="
|
|
sha1: "7c6cdb9362bf73de2a80cfcaf17e121e3302f24c"
|
|
model: "inpainting_lama_2025jan.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
width: 512
|
|
height: 512
|
|
rgb: false
|
|
sample: "inpainting"
|
|
|
|
ldm_inpainting:
|
|
encoder_load_info:
|
|
encoder_url: "https://dl.opencv.org/models/ldm_inpainting/InpaintEncoder.onnx"
|
|
encoder_sha1: "eb663262304473d81d6ae627d7117892dac56b5e"
|
|
encoder_model: "InpaintEncoder.onnx"
|
|
decoder_load_info:
|
|
decoder_url: "https://dl.opencv.org/models/ldm_inpainting/InpaintDecoder.onnx"
|
|
decoder_sha1: "af258c100e3a3b0970493b6375c8775beaffc9d1"
|
|
decoder_model: "InpaintDecoder.onnx"
|
|
diffusor_load_info:
|
|
diffusor_url: "https://dl.opencv.org/models/ldm_inpainting/LatentDiffusion.onnx"
|
|
diffusor_sha1: "2c6f8a505d9a93195510c854d8f023fab27ce70e"
|
|
diffusor_model: "LatentDiffusion.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
width: 512
|
|
height: 512
|
|
rgb: true
|
|
sample: "ldm_inpainting"
|
|
|
|
################################################################################
|
|
# Macbeth chart detection model.
|
|
################################################################################
|
|
|
|
mcc:
|
|
load_info:
|
|
url: "https://github.com/gursimarsingh/opencv_zoo/raw/refs/heads/mcc_model/models/macbeth_chart_detector/frozen_inference_graph.pb?download="
|
|
sha1: "fae7dbef14c4ae1fca76f3662220fbd460ed5ed6"
|
|
model: "frozen_inference_graph.pb"
|
|
config_load_info:
|
|
url: "https://github.com/gursimarsingh/opencv_zoo/raw/refs/heads/mcc_model/models/macbeth_chart_detector/graph.pbtxt?download="
|
|
sha1: "8350cb8f078ecefa1cd566e89930ede25a192310"
|
|
config: "graph.pbtxt"
|
|
sample: "mcc"
|
|
|
|
################################################################################
|
|
# Deblurring model.
|
|
################################################################################
|
|
|
|
NAFNet:
|
|
load_info:
|
|
url: "https://drive.google.com/uc?export=dowload&id=1ZLRhkpCekNruJZggVpBgSoCx3k7bJ-5v"
|
|
sha1: "7dabf3d4ede0770ef326afc4511f7e67a791286d"
|
|
model: "deblurring_nafnet_2025may.onnx"
|
|
mean: [0, 0, 0]
|
|
scale: 0.00392
|
|
rgb: true
|
|
sample: "deblurring"
|
|
|
|
################################################################################
|
|
# Alpha Matting model.
|
|
################################################################################
|
|
modnet:
|
|
load_info:
|
|
url: "https://github.com/HarxSan/Modnet/raw/main/modnet.onnx"
|
|
sha1: "40eebf4387ea86c982bf6e363a7f84b659b145a0"
|
|
model: "modnet.onnx"
|
|
mean: [0.0, 0.0, 0.0]
|
|
scale: 0.00784313725
|
|
width: 512
|
|
height: 512
|
|
rgb: true
|
|
sample: "alpha_matting"
|
|
|
|
################################################################################
|
|
# Super-resolution models.
|
|
################################################################################
|
|
|
|
seemoredetails:
|
|
load_info:
|
|
url: "https://github.com/Naresh-19/opencv-superres-models/raw/main/seemore_x4v2_static512.onnx"
|
|
sha1: "584467bd36f5715aa12c3203bba16e4de6392034"
|
|
model: "seemore_x4v2_static512.onnx"
|
|
mean: [0.0, 0.0, 0.0]
|
|
scale: 0.00392
|
|
rgb: true
|
|
width: 512
|
|
height: 512
|
|
sample: "super_resolution"
|
|
input: true
|
|
|
|
################################################################################
|
|
# Auto white balance models.
|
|
################################################################################
|
|
|
|
fc4:
|
|
load_info:
|
|
url: "https://raw.githubusercontent.com/MykhailoTrushch/fc4-models/main/fc4_fold_0.onnx"
|
|
sha1: "e8a9a65ec0baaae3e4c97b34274a620eb362e905"
|
|
model: "fc4_fold_0.onnx"
|
|
sample: "auto_white_balance"
|
|
scale: 0.00392156862
|
|
rgb: true
|
|
mean: 0
|