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Sync motion-tracking from metro-analytics-catalog

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  1. LICENSE +21 -57
  2. README.md +5 -3
LICENSE CHANGED
@@ -1,57 +1,21 @@
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- This directory contains two categories of content under different licenses.
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-
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-
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- Scripts and Documentation
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- -------------------------
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-
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- The scripts (export_and_quantize.sh) and documentation (README.md) in this
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- directory are original works by Intel Corporation, licensed under the
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- MIT License.
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-
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- Copyright (C) Intel Corporation
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-
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- Permission is hereby granted, free of charge, to any person obtaining a copy
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- of this software and associated documentation files (the "Software"), to deal
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- in the Software without restriction, including without limitation the rights
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- to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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- copies of the Software, and to permit persons to whom the Software is
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- furnished to do so, subject to the following conditions:
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-
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- The above copyright notice and this permission notice shall be included in
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- all copies or substantial portions of the Software.
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-
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- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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- IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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- FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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- AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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- LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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- THE SOFTWARE.
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-
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-
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- YOLO26 Model
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- ------------
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-
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- The YOLO26 model weights and the Ultralytics framework are developed by
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- Ultralytics and licensed under the GNU Affero General Public License v3.0
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- (AGPL-3.0).
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-
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- Source: https://github.com/ultralytics/ultralytics
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- License: https://github.com/ultralytics/ultralytics/blob/main/LICENSE
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- Docs: https://docs.ultralytics.com/models/yolo26/
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-
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- Users must comply with the AGPL-3.0 license terms when using, modifying,
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- or distributing the YOLO26 model weights or Ultralytics software.
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- For commercial licensing options, see https://www.ultralytics.com/license.
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-
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-
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- BoT-SORT / ByteTrack Trackers
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- ------------------------------
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-
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- The BoT-SORT and ByteTrack tracking algorithms are integrated into the
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- Ultralytics framework. Original implementations:
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-
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- BoT-SORT: https://github.com/NirAharon/BoT-SORT
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- ByteTrack: https://github.com/FoundationVision/ByteTrack
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-
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- Users should consult the respective repositories for license terms.
 
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+ MIT License
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+
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+ Copyright (c) Intel Corporation.
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- license: other
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  license_link: LICENSE
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  library_name: openvino
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  pipeline_tag: object-detection
@@ -153,7 +153,6 @@ polylines are drawn with OpenCV, and the result is muxed to `output_dlstreamer.m
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  import subprocess
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  from collections import defaultdict
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- import cv2
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  import numpy as np
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  import gi
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@@ -161,7 +160,10 @@ gi.require_version("Gst", "1.0")
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  gi.require_version("GstAnalytics", "1.0")
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  from gi.repository import Gst, GLib, GstAnalytics
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- Gst.init(None)
 
 
 
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  # For CPU: change device=GPU to device=CPU.
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  # For NPU: change device=GPU to device=NPU (batch-size=1, nireq=4 recommended).
 
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  ---
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+ license: mit
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  license_link: LICENSE
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  library_name: openvino
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  pipeline_tag: object-detection
 
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  import subprocess
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  from collections import defaultdict
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  import numpy as np
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  import gi
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  gi.require_version("GstAnalytics", "1.0")
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  from gi.repository import Gst, GLib, GstAnalytics
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+ Gst.init([])
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+
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+ # Import cv2 after Gst.init to avoid GStreamer re-initialization conflicts.
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+ import cv2
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  # For CPU: change device=GPU to device=CPU.
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  # For NPU: change device=GPU to device=NPU (batch-size=1, nireq=4 recommended).