fixed deprecation errors (np.int -> np.int32 and np.float -> np.float32)

application_util/preprocessing.py

@@ -37,7 +37,7 @@ def non_max_suppression(boxes, max_bbox_overlap, scores=None):
     if len(boxes) == 0:
         return []
 
-    boxes = boxes.astype(np.float)
+    boxes = boxes.astype(np.float32)
     pick = []
 
     x1 = boxes[:, 0]

application_util/visualization.py

@@ -113,7 +113,7 @@ class Visualization(object):
         self.viewer.thickness = 2
         for track_id, box in zip(track_ids, boxes):
             self.viewer.color = create_unique_color_uchar(track_id)
-            self.viewer.rectangle(*box.astype(np.int), label=str(track_id))
+            self.viewer.rectangle(*box.astype(np.int32), label=str(track_id))
 
     def draw_detections(self, detections):
         self.viewer.thickness = 2
@@ -128,7 +128,7 @@ class Visualization(object):
                 continue
             self.viewer.color = create_unique_color_uchar(track.track_id)
             self.viewer.rectangle(
-                *track.to_tlwh().astype(np.int), label=str(track.track_id))
+                *track.to_tlwh().astype(np.int32), label=str(track.track_id))
             # self.viewer.gaussian(track.mean[:2], track.covariance[:2, :2],
             #                      label="%d" % track.track_id)
 #

cmds.txt

-pip install opencv-python==4.6.0.66 --verbose #use this version if stuck in builing-wheel-loop
-
-pip install tensorflow==1.5
-
-pip install scikit-learn==0.22 #use this version if you want to use original deepsort code, as it uses 'linear_assignment' that is deprecated in the recent versions
-
-python3 tools/generate_detections.py --model=resources/networks/mars-small128.pb --mot_dir=./data/train --output_dir=./resources/detections/
-
-python3 deep_sort_app.py --sequence_dir=./data/train/Hens --detection_file=./resources/detections/Hens.npy --min_confidence=0.3 --nn_budget=100 --display=True
-
-python3 deep_sort_app.py --sequence_dir=./data/train/Hens --detection_file=./resources/detections/Hens.npy --min_confidence=0.3 --nn_budget=100 --display=False --output_file=./hens_output
+pip install opencv-python==4.6.0.66 --verbose #use this version if stuck in builing-wheel-loop
+
+pip install tensorflow==1.5
+
+pip install scikit-learn==0.22 #use this version if you want to use original deepsort code, as it uses 'linear_assignment' that is deprecated in the recent versions
+
+python3 tools/generate_detections.py --model=resources/networks/mars-small128.pb --mot_dir=./../sort/mot_benchmark/train --output_dir=./resources/detections/
+
+python3 deep_sort_app.py --sequence_dir=./../sort/mot_benchmark/train/Hens --detection_file=./resources/detections/Hens.npy --min_confidence=0.3 --nn_budget=100 --display=True
+
+python3 deep_sort_app.py --sequence_dir=./../sort/mot_benchmark/train/Hens --detection_file=./resources/detections/Hens.npy --min_confidence=0.3 --nn_budget=100 --display=False --output_file=./hens_output
\ No newline at end of file

deep_sort/detection.py

@@ -27,7 +27,7 @@ class Detection(object):
     """
 
     def __init__(self, tlwh, confidence, feature):
-        self.tlwh = np.asarray(tlwh, dtype=np.float)
+        self.tlwh = np.asarray(tlwh, dtype=np.float32)
         self.confidence = float(confidence)
         self.feature = np.asarray(feature, dtype=np.float32)
 

deep_sort_app.py

@@ -114,7 +114,7 @@ def create_detections(detection_mat, frame_idx, min_height=0):
         Returns detection responses at given frame index.
 
     """
-    frame_indices = detection_mat[:, 0].astype(np.int)
+    frame_indices = detection_mat[:, 0].astype(np.int32)
     mask = frame_indices == frame_idx
 
     detection_list = []