Add ConfTrack Object Tracker

supervision/__init__.py

@@ -71,6 +71,7 @@
 from supervision.geometry.utils import get_polygon_center
 from supervision.metrics.detection import ConfusionMatrix, MeanAveragePrecision
 from supervision.tracker.byte_tracker.core import ByteTrack
+from supervision.tracker.confidence_tracker.core import ConfTrack
 from supervision.utils.file import list_files_with_extensions
 from supervision.utils.image import ImageSink, crop_image, place_image, resize_image
 from supervision.utils.notebook import plot_image, plot_images_grid

supervision/tracker/confidence_tracker/basetrack.py

@@ -0,0 +1,61 @@
+from collections import OrderedDict
+
+import numpy as np
+
+
+class TrackState(object):
+    New = 0
+    Tracked = 1
+    Lost = 2
+    LongLost = 3
+    Removed = 4
+
+
+class BaseTrack(object):
+    _count = 0
+
+    track_id = 0
+    is_activated = False
+    state = TrackState.New
+
+    history = OrderedDict()
+    features = []
+    curr_feature = None
+    score = 0
+    start_frame = 0
+    frame_id = 0
+    time_since_update = 0
+
+    # multi-camera
+    location = (np.inf, np.inf)
+
+    @property
+    def end_frame(self):
+        return self.frame_id
+
+    @staticmethod
+    def next_id():
+        BaseTrack._count += 1
+        return BaseTrack._count
+
+    def activate(self, *args):
+        raise NotImplementedError
+
+    def predict(self):
+        raise NotImplementedError
+
+    def update(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def mark_lost(self):
+        self.state = TrackState.Lost
+
+    def mark_long_lost(self):
+        self.state = TrackState.LongLost
+
+    def mark_removed(self):
+        self.state = TrackState.Removed
+
+    @staticmethod
+    def clear_count():
+        BaseTrack._count = 0