From 59d76d64972236e11d3f060a38eac0904eb7df03 Mon Sep 17 00:00:00 2001
From: yihong xu <yihong.xu@inria.fr>
Date: Thu, 16 Apr 2020 14:38:06 +0200
Subject: [PATCH] update licence header.
---
.idea/deepmot.iml | 12 --
.idea/misc.xml | 4 -
.idea/modules.xml | 8 --
.idea/vcs.xml | 6 -
.idea/workspace.xml | 288 ---------------------------------------
__init__.py | 9 ++
evalation.py | 11 +-
models/DAN.py | 10 ++
models/DHN.py | 11 +-
models/__init__.py | 9 ++
models/siamrpn.py | 11 +-
plot_results.py | 15 +-
tracking_on_mot.py | 11 +-
train_mot.py | 12 +-
utils/DAN_utils.py | 9 ++
utils/__init__.py | 9 ++
utils/box_utils.py | 11 +-
utils/io_utils.py | 11 +-
utils/loss.py | 11 +-
utils/mot_utils.py | 13 +-
utils/noise_utils.py | 11 +-
utils/sot_utils.py | 13 +-
utils/tracking_config.py | 11 +-
23 files changed, 115 insertions(+), 401 deletions(-)
delete mode 100644 .idea/deepmot.iml
delete mode 100644 .idea/misc.xml
delete mode 100644 .idea/modules.xml
delete mode 100644 .idea/vcs.xml
delete mode 100644 .idea/workspace.xml
diff --git a/.idea/deepmot.iml b/.idea/deepmot.iml
deleted file mode 100644
index 7c9d48f..0000000
--- a/.idea/deepmot.iml
+++ /dev/null
@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<module type="PYTHON_MODULE" version="4">
- <component name="NewModuleRootManager">
- <content url="file://$MODULE_DIR$" />
- <orderEntry type="inheritedJdk" />
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- <component name="TestRunnerService">
- <option name="projectConfiguration" value="pytest" />
- <option name="PROJECT_TEST_RUNNER" value="pytest" />
- </component>
-</module>
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
deleted file mode 100644
index 65531ca..0000000
--- a/.idea/misc.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
- <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6" project-jdk-type="Python SDK" />
-</project>
\ No newline at end of file
diff --git a/.idea/modules.xml b/.idea/modules.xml
deleted file mode 100644
index cda52c8..0000000
--- a/.idea/modules.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
- <component name="ProjectModuleManager">
- <modules>
- <module fileurl="file://$PROJECT_DIR$/.idea/deepmot.iml" filepath="$PROJECT_DIR$/.idea/deepmot.iml" />
- </modules>
- </component>
-</project>
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
deleted file mode 100644
index 94a25f7..0000000
--- a/.idea/vcs.xml
+++ /dev/null
@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
- <component name="VcsDirectoryMappings">
- <mapping directory="$PROJECT_DIR$" vcs="Git" />
- </component>
-</project>
\ No newline at end of file
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
deleted file mode 100644
index 671792f..0000000
--- a/.idea/workspace.xml
+++ /dev/null
@@ -1,288 +0,0 @@
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- <change beforePath="$PROJECT_DIR$/README.md" beforeDir="false" afterPath="$PROJECT_DIR$/README.md" afterDir="false" />
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- <file pinned="false" current-in-tab="false">
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- <provider selected="true" editor-type-id="text-editor" />
- </entry>
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- </leaf>
- </component>
- <component name="FindInProjectRecents">
- <findStrings>
- <find>siamr</find>
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- <component name="Git.Settings">
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- </component>
- <component name="IdeDocumentHistory">
- <option name="CHANGED_PATHS">
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- <option value="$PROJECT_DIR$/evalation.py" />
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- <foldersAlwaysOnTop value="true" />
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- <panes>
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- <subPane>
- <expand>
- <path>
- <item name="deepmot" type="b2602c69:ProjectViewProjectNode" />
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- <task active="true" id="Default" summary="Default task">
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\ No newline at end of file
diff --git a/__init__.py b/__init__.py
index e69de29..99cc951 100644
--- a/__init__.py
+++ b/__init__.py
@@ -0,0 +1,9 @@
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
+# This file is a part of implementation for paper:
+# How To Train Your Deep Multi-Object Tracker.
+# This contribution is headed by Perception research team, INRIA.
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
diff --git a/evalation.py b/evalation.py
index 69b5933..63858fc 100644
--- a/evalation.py
+++ b/evalation.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import os
diff --git a/models/DAN.py b/models/DAN.py
index 29b0e90..5cd876b 100644
--- a/models/DAN.py
+++ b/models/DAN.py
@@ -1,3 +1,13 @@
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
+# This file is a part of implementation for paper:
+# How To Train Your Deep Multi-Object Tracker.
+# This contribution is headed by Perception research team, INRIA.
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
+
"""
SST tracker net
diff --git a/models/DHN.py b/models/DHN.py
index 347769a..52c62c3 100644
--- a/models/DHN.py
+++ b/models/DHN.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import torch
import torch.nn as nn
diff --git a/models/__init__.py b/models/__init__.py
index e69de29..533d5c5 100644
--- a/models/__init__.py
+++ b/models/__init__.py
@@ -0,0 +1,9 @@
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
+# This file is a part of implementation for paper:
+# How To Train Your Deep Multi-Object Tracker.
+# This contribution is headed by Perception research team, INRIA.
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
\ No newline at end of file
diff --git a/models/siamrpn.py b/models/siamrpn.py
index 853a68d..e3f09f3 100644
--- a/models/siamrpn.py
+++ b/models/siamrpn.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import torch.nn as nn
import torch.nn.functional as F
diff --git a/plot_results.py b/plot_results.py
index bceef3d..d66c547 100644
--- a/plot_results.py
+++ b/plot_results.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
-# Contributor(s) : Yutong Ban
-# INRIA contact : yutong.ban@inria.fr
-#
-# ===========================================================================
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
import os
import cv2
diff --git a/tracking_on_mot.py b/tracking_on_mot.py
index 7fc87a6..e1cd14f 100644
--- a/tracking_on_mot.py
+++ b/tracking_on_mot.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import os
import csv
diff --git a/train_mot.py b/train_mot.py
index 8f3b69b..9777adf 100644
--- a/train_mot.py
+++ b/train_mot.py
@@ -1,14 +1,12 @@
-
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import os
import random
diff --git a/utils/DAN_utils.py b/utils/DAN_utils.py
index ca1964d..1e59eac 100644
--- a/utils/DAN_utils.py
+++ b/utils/DAN_utils.py
@@ -1,3 +1,12 @@
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
+# This file is a part of implementation for paper:
+# How To Train Your Deep Multi-Object Tracker.
+# This contribution is headed by Perception research team, INRIA.
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
import cv2
import numpy as np
diff --git a/utils/__init__.py b/utils/__init__.py
index e69de29..99cc951 100644
--- a/utils/__init__.py
+++ b/utils/__init__.py
@@ -0,0 +1,9 @@
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
+# This file is a part of implementation for paper:
+# How To Train Your Deep Multi-Object Tracker.
+# This contribution is headed by Perception research team, INRIA.
+# Contributor(s) : Yihong Xu
+# INRIA contact : yihong.xu@inria.fr
+# created on 16th April 2020.
+#==========================================================================
diff --git a/utils/box_utils.py b/utils/box_utils.py
index 08f503f..dc0e6e8 100644
--- a/utils/box_utils.py
+++ b/utils/box_utils.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import numpy as np
import copy
diff --git a/utils/io_utils.py b/utils/io_utils.py
index 2172e4e..0bdcaa5 100644
--- a/utils/io_utils.py
+++ b/utils/io_utils.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import csv
from utils.box_utils import xywh2xyxy
diff --git a/utils/loss.py b/utils/loss.py
index 388c14f..5d538a2 100644
--- a/utils/loss.py
+++ b/utils/loss.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
from utils.box_utils import *
import torch.nn.functional as F
diff --git a/utils/mot_utils.py b/utils/mot_utils.py
index ba9ea03..be21641 100644
--- a/utils/mot_utils.py
+++ b/utils/mot_utils.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
from utils.sot_utils import *
from utils.DAN_utils import TrackUtil
@@ -107,7 +106,7 @@ def easy_birth_deathV4_rpn(munkres, bbox_track, det_boxes, curr_img, id_track, c
pre_id=None):
"""
birth and death process during training
- :param munkres: assignment matrix {0，1} for track_detection association, numpy array, [batch, H, W]
+ :param munkres: assignment matrix {0�?} for track_detection association, numpy array, [batch, H, W]
:param bbox_track: current tracks bboxes, torch Float tensor, [num_track, 4]
:param curr_img: current frame, numpy array, [h,w,c]
:param det_boxes: current detection (or gt) boxes [[id, bbox], [id, bbox]], list, [num_boxes, 5]
diff --git a/utils/noise_utils.py b/utils/noise_utils.py
index b17065b..c3f6771 100644
--- a/utils/noise_utils.py
+++ b/utils/noise_utils.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import numpy as np
import cv2
diff --git a/utils/sot_utils.py b/utils/sot_utils.py
index 5ad5c03..baab873 100644
--- a/utils/sot_utils.py
+++ b/utils/sot_utils.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
import torch.nn.functional as F
import torch
@@ -441,7 +440,7 @@ def tracker_eval(net, x_crop, target_pos, target_sz, window, scale_z, p, templat
def update_target_image_train(predicted, id_track, dets, img_curr, states, SOT_tracker, prev_id=None):
"""
- :param predicted: assignment matrix {0，1} for track_detection association, numpy array, [batch, H, W]
+ :param predicted: assignment matrix {0�?} for track_detection association, numpy array, [batch, H, W]
:param id_track: current tracking ids, list
:param dets: current detection (or gt) boxes [[id, bbox], [id, bbox]], list, [num_boxes, 5]
:param img_curr: current frame, numpy array, [h,w,c]
diff --git a/utils/tracking_config.py b/utils/tracking_config.py
index d69e692..673239e 100644
--- a/utils/tracking_config.py
+++ b/utils/tracking_config.py
@@ -1,13 +1,12 @@
-# ==========================================================================
-#
+#==========================================================================
+# This file is under License LGPL-3.0 (see details in the license file).
# This file is a part of implementation for paper:
-# DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
+# How To Train Your Deep Multi-Object Tracker.
# This contribution is headed by Perception research team, INRIA.
-#
# Contributor(s) : Yihong Xu
# INRIA contact : yihong.xu@inria.fr
-#
-# ===========================================================================
+# created on 16th April 2020.
+#==========================================================================
def tracking_config(vname, dataset):
--
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