add GroundingDINO Modify the code to tell the user where the CKPT is created, and modify the detector.py code to make the model unified in CKPT

README.md

@@ -52,43 +52,43 @@ This video showcases the segmentation and tracking capabilities of SAM-Track in
     - In version 2.x, the segmentation model will offer two options: SAM and SEEM.
     - We will develop a new function where the fixed-category object detection result can be displayed as a prompt.
     - We will enable SAM-Track to add and modify objects during tracking. YouTube: [Demo6](https://www.youtube.com/watch?v=l7hXM1a3nEA&feature=youtu.be
-), [Demo7](https://www.youtube.com/watch?v=hPjw28Ul4cw&feature=youtu.be); Bilibili: [Demo6](https://www.bilibili.com/video/BV1nk4y1j7Am), [Demo7](https://www.bilibili.com/video/BV1mk4y1E78s/?vd_source=fe3b5c0215d05cc44c8eb3d94abae3ca)
+    ), [Demo7](https://www.youtube.com/watch?v=hPjw28Ul4cw&feature=youtu.be); Bilibili: [Demo6](https://www.bilibili.com/video/BV1nk4y1j7Am), [Demo7](https://www.bilibili.com/video/BV1mk4y1E78s/?vd_source=fe3b5c0215d05cc44c8eb3d94abae3ca)
 
 **Demo1** showcases SAM-Track's ability to take the class of objects as prompt. The user gives the category text 'panda' to enable instance-level segmentation and tracking of all objects belonging to this category.
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683347297/video_to_markdown/images/youtube--5oieHqFIJPc-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=5oieHqFIJPc&feature=youtu.be "demo1")
 </div>
 
 **Demo2** showcases SAM-Track's ability to take the text description as prompt. SAM-Track could segment and track target objects given the input that 'panda on the far left'.
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683347643/video_to_markdown/images/youtube--nXfq17X6ohk-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=nXfq17X6ohk "demo1")
 </div>
 
 
 **Demo3** showcases SAM-Track's ability to track numerous objects at the same time. SAM-Track is capable of automatically detecting newly appearing objects.
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683347961/video_to_markdown/images/youtube--jMqFMq0tRP0-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=jMqFMq0tRP0 "demo1")
 </div>
 
 **Demo4** showcases SAM-Track's ability to take multiple modes of interactions as prompt. The user specified human and skateboard with click and brushstroke, respectively.  
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683348115/video_to_markdown/images/youtube--UFtwFaOfx2I-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=UFtwFaOfx2I&feature=youtu.be "demo1")
 </div>
 
 
 **Demo5** showcases SAM-Track's ability to refine the results of segment-everything. The user merges the tram as a whole with a single click.
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683348276/video_to_markdown/images/youtube--cK5MPFdJdSY-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=cK5MPFdJdSY&feature=youtu.be "demo1")
 </div>
 
 **Demo6** showcases SAM-Track's ability to add new objects during tracking. The user annotates another car by rolling back to an intermediate frame.
 <div align=center>
- 
+
 [![demo1](https://res.cloudinary.com/marcomontalbano/image/upload/v1683348411/video_to_markdown/images/youtube--l7hXM1a3nEA-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=l7hXM1a3nEA "demo1")
 </div>
 
@@ -106,7 +106,7 @@ This video showcases the segmentation and tracking capabilities of SAM-Track in
 
 **Demo9** showcases SAM-Track's ability to interactively add specified objects for tracking.The user customized the addition of objects to be tracked on top of the segmentation of everything in the scene using SAM-Track.
 <div align=center>
- 
+
 [![Interactive Segment-and-Track-Anything Demo2](https://res.cloudinary.com/marcomontalbano/image/upload/v1681712071/video_to_markdown/images/youtube--eZrdna8JkoQ-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=eZrdna8JkoQ "Interactive Segment-and-Track-Anything Demo2")
 </div>
 
@@ -136,7 +136,14 @@ You can download the default weights using the command line as shown below.
 bash script/download_ckpt.sh
 ```
 
-### :heart:Run Demo
+Create a ckpt folder in the root directory and put the downloaded model up into ckpt
+
+
+
+
+
+### video
+
 - The video to be processed can be put in ./assets. 
 - Then run **demo.ipynb** step by step to generate results. 
 - The results will be saved as masks for each frame and a gif file for visualization.

src/groundingdino/.gitignore

@@ -0,0 +1,146 @@
+# IDE
+.idea/
+.vscode/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# vscode
+.vscode/
+output/
+outputs/
+subs/
+logs/
+
+grounding/config/configs
+grounding/version.py
+
+vis/
+tmp/