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add nanotrack v2 at regression test.

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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
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4
modules/video/include/opencv2/video/tracking.hpp
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@ -851,9 +851,9 @@ public:
/** @brief the Nano tracker is a super lightweight dnn-based general object tracking. /** @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). * 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 * Original repo is here: https://github.com/HonglinChu/NanoTrack
* Author:HongLinChu, 1628464345@qq.com * Author:HongLinChu, 1628464345@qq.com
*/ */

17
modules/video/test/test_trackers.cpp
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@ -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 // Template image
Mat img0 = imread(findDataFile("tracking/bag/00000001.jpg"), 1); Mat img0 = imread(findDataFile("tracking/bag/00000001.jpg"), 1);
@ -136,7 +136,7 @@ TEST(DaSiamRPN, accuracy)
checkTrackingAccuracy(tracker, 0.7); 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 backbonePath = cvtest::findDataFile("dnn/onnx/models/nanotrack_backbone_sim.onnx", false);
std::string neckheadPath = cvtest::findDataFile("dnn/onnx/models/nanotrack_head_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); cv::Ptr<Tracker> tracker = TrackerNano::create(params);
checkTrackingAccuracy(tracker); 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:: }} // namespace opencv_test::

4
samples/python/tracker.py
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@ -10,8 +10,8 @@ For DaSiamRPN:
kernel_r1: https://www.dropbox.com/s/999cqx5zrfi7w4p/dasiamrpn_kernel_r1.onnx?dl=0 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 kernel_cls1: https://www.dropbox.com/s/qvmtszx5h339a0w/dasiamrpn_kernel_cls1.onnx?dl=0
For NanoTrack: For NanoTrack:
nanotrack_backbone: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/onnx/nanotrack_backbone_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/onnx/nanotrack_head_sim.onnx nanotrack_headneck: https://github.com/HonglinChu/SiamTrackers/blob/master/NanoTrack/models/nanotrackv2/nanotrack_head_sim.onnx
USAGE: USAGE:
tracker.py [-h] [--input INPUT] [--tracker_algo TRACKER_ALGO] tracker.py [-h] [--input INPUT] [--tracker_algo TRACKER_ALGO]