jens/ocv_template_matching
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

store project file in image location

Browse Source
This commit is contained in:
jens
2024-07-19 16:42:51 +02:00
parent 830b858265
commit 32be3d17cd
1 changed files with 32 additions and 29 deletions
Download Patch File Download Diff File Expand all files Collapse all files
ocv_corner_tracker.py
+32 -29
View File
@@ -1,6 +1,7 @@
import cv2
import numpy as np
import argparse
import os
import sys
import csv
import json
@@ -100,8 +101,8 @@ class CornerTrackerSettings:
self.tracking_bb = _tracking_bb
self.matching_tpl_bb = []
def from_dict(self, settings: dict):
self.__dict__.update(settings)
def from_dict(self, _settings: dict):
self.__dict__.update(_settings)
return self
def append(self, _bb: np.array):
@@ -164,12 +165,11 @@ class CornerTracker:
'''
return _result
def create_from_settings(self, _image: np.array, settings: CornerTrackerSettings):
_mask = CornerTracker.create_mask(_image, settings.mask_bb)
image_processed_local, _ = self.create_tracking(_image, _mask, settings.tracking_bb)
self.create_matching(image_processed_local, settings.tracking_bb, settings.matching_tpl_bb)
def create_from_settings(self, _image: np.array, _settings: CornerTrackerSettings, _image_anno: np.array):
_mask = CornerTracker.create_mask(_image, _settings.mask_bb)
image_processed_local, _ = self.create_tracking(_image, _mask, _settings.tracking_bb)
return self.create_matching(image_processed_local, settings.tracking_bb, settings.matching_tpl_bb)
return self.create_matching(image_processed_local, _settings.tracking_bb, _settings.matching_tpl_bb, _image_anno)
@staticmethod
def create_mask(_image: np.array, mask_bb: np.array):
@@ -199,7 +199,7 @@ class CornerTracker:
return image_processed_local, tracking_img
def create_matching(self, image_processed_local: np.array, tracking_bb: np.array, matching_tpl_bb_list: list):
def create_matching(self, image_processed_local: np.array, tracking_bb: np.array, matching_tpl_bb_list: list, _image_anno: np.array):
# Create corner matcher
self.corner_matcher_list = []
corner_list = []
@@ -226,31 +226,34 @@ class CornerTracker:
corner = (corner_local[0] + tracking_bb[0], corner_local[1] + tracking_bb[1])
self.corner_ref.append(corner)
for matching_tpl_bb in matching_tpl_bb_list:
self._debug(_image_anno, matching_tpl_bb)
return True
def init_reference_frame(self, _image: np.array):
settings = CornerTrackerSettings(self.id)
def init_reference_frame(self, _image: np.array, _image_anno: np.array):
_settings = CornerTrackerSettings(self.id)
# Draw mask
_mask = CornerTracker.mask_init(_image)
# Init mask
print(f"Draw mask object")
_mask_bb = cv2.selectROI("Tracker Reference", _image, False)
_mask_bb = cv2.selectROI("Tracker Reference", _image_anno, False)
cv2.destroyWindow("Tracker Reference")
if bbox_center(_mask_bb) == (0, 0):
_mask_bb = (0, 0, _image.shape[1], _image.shape[0])
settings.mask_bb = _mask_bb
_settings.mask_bb = _mask_bb
_mask = self.create_mask(_image, _mask_bb)
# Select search area
print(f"Select tracking object")
tracking_bb = cv2.selectROI("Tracker Reference", _image, False)
tracking_bb = cv2.selectROI("Tracker Reference", _image_anno, False)
cv2.destroyWindow("Tracker Reference")
if bbox_center(tracking_bb) == (0, 0):
return None
settings.tracking_bb = tracking_bb
_settings.tracking_bb = tracking_bb
image_processed_local, tracking_img = self.create_tracking(_image, _mask, tracking_bb)
count = 1
@@ -260,15 +263,15 @@ class CornerTracker:
if bbox_center(matching_tpl_bb) == (0, 0):
break
settings.matching_tpl_bb.append(matching_tpl_bb)
_settings.matching_tpl_bb.append(matching_tpl_bb)
print(f"Corner {count} added")
count += 1
cv2.destroyWindow("Matcher Reference")
print(f"Added {count} corners")
if self.create_matching(image_processed_local, settings.tracking_bb, settings.matching_tpl_bb):
return settings
if self.create_matching(image_processed_local, _settings.tracking_bb, _settings.matching_tpl_bb, _image_anno):
return _settings
def process(self, _image: np.array, _image_anno: np.array):
# Update tracker bb
@@ -363,17 +366,17 @@ class CornerTracker:
def project_load(path: str = "./"):
_settings = None
try:
with open(path + "ocv_tracker_prj.json", "r") as fp:
with open(os.path.join(path, "ocv_tracker_prj.json"), "r") as fp:
_settings = json.load(fp)
except Exception:
except FileNotFoundError:
pass
return _settings
def project_save(settings: dict, path: str = "./"):
with open(path + "ocv_tracker_prj.json", "w") as fp:
json.dump(settings, fp, indent=4)
def project_save(_settings: dict, path: str = "./"):
with open(os.path.join(path, "ocv_tracker_prj.json"), "w") as fp:
json.dump(_settings, fp, indent=4)
if __name__ == '__main__':
@@ -393,7 +396,7 @@ if __name__ == '__main__':
# Fill CornerTrackerParams from args
ct_params = CornerTrackerParams(_scale=args.scale, _pre_track=args.track, _show_path=args.path)
prj = project_load()
prj = project_load(os.path.dirname(args.filename))
prj_loaded = False
if prj is not None:
ct_params = ct_params.from_dict(prj['params'])
@@ -412,26 +415,27 @@ if __name__ == '__main__':
colors = [(255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 0, 255), (0, 255, 255), (255, 255, 255)]
tracker_count = 0
tracker_list = []
select_window = image.copy()
image_anno = image.copy()
if prj_loaded:
ct_params = CornerTrackerParams().from_dict(prj['params'])
for tracker_settings in prj['trackers']:
print(tracker_settings)
ct = CornerTracker(tracker_settings['id'], ct_params, colors[tracker_count], name=f"Tracker-{tracker_settings['id']}")
ct.create_from_settings(select_window, CornerTrackerSettings(tracker_count).from_dict(tracker_settings))
ct.create_from_settings(image, CornerTrackerSettings(tracker_count).from_dict(tracker_settings), image_anno)
tracker_list.append(ct)
tracker_count += 1
else:
prj = {'params': ct_params.__dict__, 'trackers': []}
cv2.imshow("Tracker Reference", image_anno)
print("Press 'a' for adding trackers, press 'd' to delete a tracker, press other key to continue")
k = cv2.waitKey(-1) & 0xff
while True:
print(f"Add tracker #{tracker_count}")
ct = CornerTracker(tracker_count, ct_params, colors[tracker_count], name=f"Tracker-{tracker_count}")
settings = ct.init_reference_frame(select_window)
settings = ct.init_reference_frame(image, image_anno)
if settings is not None:
prj['trackers'].append(settings.__dict__)
tracker_list.append(ct)
@@ -440,7 +444,7 @@ if __name__ == '__main__':
break
tracker_count += 1
project_save(prj)
project_save(prj, os.path.dirname(args.filename))
# rewind to frame 0
video.set(cv2.CAP_PROP_POS_FRAMES, 0)
@@ -467,7 +471,6 @@ if __name__ == '__main__':
cv2.rectangle(image_anno, (25, 0), (int(image_anno.shape[1]), 25*(1+len(tracker_list))), (0, 0, 0), -1)
for ct in tracker_list:
mean_distance = ct.process(image, image_anno)
ct.id
if mean_distance is not None:
scale = np.float32(ct_params.scale)
scaled_distance = (scale*mean_distance[0], scale*mean_distance[1])