mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-06-11 20:09:23 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

add nanotrack v2 at regression test.

Browse Source
This commit is contained in:
zihaomu 2022-12-14 14:41:49 +08:00
parent 103212f209
commit 7dbb125a34
3 changed files with 19 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
modules/video/include/opencv2/video/tracking.hpp
View File

@ -851,9 +851,9 @@ public:
/** @brief the Nano tracker is a super lightweight dnn-based general object tracking.
*
* Nano tracker is much faster and extremely lightweight due to special model structure, the whole model size is about 1.1 MB.
* Nano tracker is much faster and extremely lightweight due to special model structure, the whole model size is about 1.9 MB.
* Nano tracker needs two models: one for feature extraction (backbone) and the another for localization (neckhead).
* Please download these two onnx models at:https://github.com/HonglinChu/SiamTrackers/tree/master/NanoTrack/models/onnx.
* Please download these two onnx models at:https://github.com/HonglinChu/SiamTrackers/tree/master/NanoTrack/models/nanotrackv2.
* Original repo is here: https://github.com/HonglinChu/NanoTrack
* Author:HongLinChu, 1628464345@qq.com
*/

17
modules/video/test/test_trackers.cpp
View File

@ -79,7 +79,7 @@ static bool checkIOU(const Rect& r0, const Rect& r1, double threshold)
}
}
static void checkTrackingAccuracy(cv::Ptr<Tracker>& tracker, double iouThreshold = 0.8)
static void checkTrackingAccuracy(cv::Ptr<Tracker>& tracker, double iouThreshold = 0.7)
{
// Template image
Mat img0 = imread(findDataFile("tracking/bag/00000001.jpg"), 1);
@ -136,7 +136,7 @@ TEST(DaSiamRPN, accuracy)
checkTrackingAccuracy(tracker, 0.7);
}
TEST(NanoTrack, accuracy)
TEST(NanoTrack, accuracy_NanoTrack_V1)
{
std::string backbonePath = cvtest::findDataFile("dnn/onnx/models/nanotrack_backbone_sim.onnx", false);
std::string neckheadPath = cvtest::findDataFile("dnn/onnx/models/nanotrack_head_sim.onnx", false);
@ -147,4 +147,17 @@ TEST(NanoTrack, accuracy)
cv::Ptr<Tracker> tracker = TrackerNano::create(params);
checkTrackingAccuracy(tracker);
}
TEST(NanoTrack, accuracy_NanoTrack_V2)
{
std::string backbonePath = cvtest::findDataFile("dnn/onnx/models/nanotrack_backbone_sim_v2.onnx", false);
std::string neckheadPath = cvtest::findDataFile("dnn/onnx/models/nanotrack_head_sim_v2.onnx", false);
cv::TrackerNano::Params params;
params.backbone = backbonePath;
params.neckhead = neckheadPath;
cv::Ptr<Tracker> tracker = TrackerNano::create(params);
checkTrackingAccuracy(tracker, 0.69);
}
}} // namespace opencv_test::

4
samples/python/tracker.py
View File

@ -10,8 +10,8 @@ For DaSiamRPN:
kernel_r1: https://www.dropbox.com/s/999cqx5zrfi7w4p/dasiamrpn_kernel_r1.onnx?dl=0
kernel_cls1: https://www.dropbox.com/s/qvmtszx5h339a0w/dasiamrpn_kernel_cls1.onnx?dl=0
For NanoTrack:
nanotrack_backbone: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/onnx/nanotrack_backbone_sim.onnx
nanotrack_headneck: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/onnx/nanotrack_head_sim.onnx
nanotrack_backbone: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/nanotrackv2/nanotrack_backbone_sim.onnx
nanotrack_headneck: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/nanotrackv2/nanotrack_head_sim.onnx
USAGE:
tracker.py [-h] [--input INPUT] [--tracker_algo TRACKER_ALGO]