opencv/modules/video/misc/python/test/test_tracking.py
Alexander Smorkalov ae25c3194f
Merge pull request #26875 from asmorkalov:as/in_memory_models
Added trackers factory with pre-loaded dnn models #26875

Replaces https://github.com/opencv/opencv/pull/26295

Allows to substitute custom models or initialize tracker from in-memory model.

### Pull Request Readiness Checklist

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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-14 15:35:38 +03:00

38 lines
1.3 KiB
Python

#!/usr/bin/env python
import os
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests, unittest
class tracking_test(NewOpenCVTests):
def test_createMILTracker(self):
t = cv.TrackerMIL.create()
self.assertTrue(t is not None)
def test_createGoturnTracker(self):
proto = self.find_file("dnn/gsoc2016-goturn/goturn.prototxt", required=False);
weights = self.find_file("dnn/gsoc2016-goturn/goturn.caffemodel", required=False);
net = cv.dnn.readNet(proto, weights)
t = cv.TrackerGOTURN.create(net)
self.assertTrue(t is not None)
def test_createNanoTracker(self):
backbone_path = self.find_file("dnn/onnx/models/nanotrack_backbone_sim_v2.onnx", required=False);
neckhead_path = self.find_file("dnn/onnx/models/nanotrack_head_sim_v2.onnx", required=False);
backbone = cv.dnn.readNet(backbone_path)
neckhead = cv.dnn.readNet(neckhead_path)
t = cv.TrackerNano.create(backbone, neckhead)
self.assertTrue(t is not None)
def test_createVitTracker(self):
model_path = self.find_file("dnn/onnx/models/vitTracker.onnx", required=False);
model = cv.dnn.readNet(model_path)
t = cv.TrackerVit.create(model)
self.assertTrue(t is not None)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()