Recent Releases of EcoAssist
EcoAssist - AddaxAI v6.10
- Fix bug for incomplete AddaxAI JSON conversion
- Update SpeciesNet params properly at initiation
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 23 days ago

EcoAssist - AddaxAI v6.09
- Google's global species identification model added
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 26 days ago

EcoAssist - AddaxAI v6.08
- Solved GPU not found on Windows NVIDIA GPUs
- Added Sensing Clues export format TSV
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 28 days ago

EcoAssist - AddaxAI v6.07
- Enables downloading of virtual environments during runtime to reduce size
- Fix 'ModuleNotFoundError: No module named 'tensorflow_addons'' error when running Peruvian Amazon model
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 29 days ago

EcoAssist - AddaxAI v6.06
- Allow full image classifiers
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 month ago

EcoAssist - AddaxAI v6.05
- Fixed bug leading to "UnboundLocalError"
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 month ago

EcoAssist - AddaxAI v6.04
- Fixed bug leading to "No such file or directory"
- Fixed bug leading to "UnidentifiedImageError"
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 month ago

EcoAssist - AddaxAI v6.03
- New European model (v1.3)
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 2 months ago

EcoAssist - AddaxAI v6.02
- Allow installation for all users as opposed to single user only
- Fix issue with COCO format and images without metadata
- Added functionality to blur people from images
- Made AddaxAI backwards compatible with JSON files created with EcoAssist versions
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 2 months ago

EcoAssist - AddaxAI v6.01
To avoid any legal concerns, we have renamed the project from EcoAssist to AddaxAI. The project itself remains the same—only the name has changed. The new website is: addaxdatascience.com/addaxai
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 2 months ago

EcoAssist - EcoAssist v5.29
- New input data formats:
- images: '.jpg', '.jpeg', '.gif', '.png', '.tif', '.tiff', and '.bmp'
- videos: '.mp4', '.avi', '.mpeg', '.mpg', '.mov', and '.mkv'
- New feature to select line width and font size for image visualization (XS, S, M, L, XL)
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.28
- Added CV4Ecology workshop inference code
- Removed redundant EXE files to avoid anti virus reports
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.27
Bug fix for Windows users and the human-in-the-loop annotation feature.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.26
This version has:
- adjusted environment names for Linux users
- added local install of PyQt5 and pyrcc5 command for human in the loop feature
- added open.command for Linux users
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.25
Truncated images can now be read and analysed by the classification models.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.24
And again fixed some additional bugs ;)
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.23
Fixed some initial bugs related to the new automated install.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.22
This release incorporates a new method of installation that hopefully bypasses restrictions on locked down machines. It removes the dependency for conda and uses a graphical user interface during the installation.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 3 months ago

EcoAssist - EcoAssist v5.21
Enhanced video handling capabilities and integration with the latest video features in Timelapse.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.20...v5.21
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 5 months ago

EcoAssist - EcoAssist v5.20
Beta-version with per-frame video visualisations using Timelapse integration.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.19...v5.20
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 5 months ago

EcoAssist - EcoAssist v5.19
Added the new version of the European species identification model (Deepfaune v1.2).
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.18...v5.19
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 6 months ago

EcoAssist - EcoAssist v5.18
Added new species identification model for Kirghizistan fauna.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.17...v5.18
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 7 months ago

EcoAssist - EcoAssist v5.17
- Fixed installation bug
- Fixed problems with Southwest USA model for CPU users
What's Changed
- fix broken link into MD repo, minor typo fixes by @agentmorris in https://github.com/PetervanLunteren/EcoAssist/pull/54
New Contributors
- @agentmorris made their first contribution in https://github.com/PetervanLunteren/EcoAssist/pull/54
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.16...v5.17
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 7 months ago

EcoAssist - EcoAssist v5.16
Includes a new species identification model for Southwest USA with 27 classes. Developed by the San Diego Zoo Wildlife Alliance.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.15...v5.16
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 8 months ago

EcoAssist - EcoAssist v5.15
Added a check for corrupted files and the option to repair them before starting annotation session.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 8 months ago

EcoAssist - EcoAssist v5.14
New export in COCO format.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 9 months ago

EcoAssist - EcoAssist v5.13
Facilitates the deployment of the new Peruvian Andes model.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 9 months ago

EcoAssist - EcoAssist v5.12
This version fixes the bug that linked incorrect labels to detections in custom MEWC models.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 10 months ago

EcoAssist - EcoAssist v5.11
This update includes the beta version for the Timelapse incorporation. Soon users will be able to deploy models via EcoAssist directly from Timelapse.
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 10 months ago

EcoAssist - EcoAssist v5.10
Supports the deployment of the Peruvian Amazon model.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.4...v5.10
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 10 months ago

EcoAssist - EcoAssist v5.9
- Fixed bug with NaN datetimes
- Fixed draw square bbox bug
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.8...v.5.9
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 10 months ago

EcoAssist - EcoAssist v5.8
Added smoothing feature to reduce noise by averaging predictions over images, videos and sequences.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.7...v.5.8
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 10 months ago

EcoAssist - EcoAssist v5.7
Generate plots, graphs and maps based on the detections.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.6...v.5.7
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 11 months ago

EcoAssist - EcoAssist v5.6
This version is compatible with the PytorchWildlife Amazon Rainforest model.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.5...v.5.6
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 11 months ago

EcoAssist - EcoAssist v5.5
Adjusted code to import MEWC class_list.yaml
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.4...v.5.5
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 11 months ago

EcoAssist - EcoAssist v5.4
Fixed conda init bug and finalised NZ model.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.3...v5.4
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren 11 months ago

EcoAssist - EcoAssist v5.3
Adjusted code for the new NZ species identification model.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.2...v5.3
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 year ago

EcoAssist - EcoAssist v5.2
Added DeepFaune v1.1 model to the list of classifiers.
What's Changed
- Add DeepFaune v1.1 by @PetervanLunteren in https://github.com/PetervanLunteren/EcoAssist/pull/38
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v5.0...v5.2
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 year ago

EcoAssist - EcoAssist v5.1
Moved PyQt5 dependency to PySide6 for Unix systems to avoid HomeBrew dependency and extra install.
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v.5.0...v5.1
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 year ago

EcoAssist - EcoAssist v5.0
- new window: simple mode
- saves user settings
- incorporated Namibian species model
- automatic model download
- switch between virtual environments
What's Changed
- Update to v5.0 by @PetervanLunteren in https://github.com/PetervanLunteren/EcoAssist/pull/34
New Contributors
- @PetervanLunteren made their first contribution in https://github.com/PetervanLunteren/EcoAssist/pull/34
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v4.4...v.5.0
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 1 year ago

EcoAssist - EcoAssist v4.4
In previous versions of EcoAssist (v3.0 > v4.3) it was possible to train your own object detection models based on MegaDetector to detect your target species. Although this did work, it wasn't the best approach to develop a species recognition model. It required lots of training data, processing power, time, electricity and wasn't very accurate. Advancing insights revealed that better results can be obtained by using a object classification model to be used in conjunction with the results of MegaDetector. The animals will then be located by MegaDetector, and further classified by your custom model. EcoAssist > v4.2 does support the deployment of a classification model to be used in conjunction with MegaDetector, but training such a model is more complicated and hasn't been incorporated into EcoAssist (yet).
Further:
- new logo
- fixed scroll issues
- moved documentation to https://addaxdatascience.com/ecoassist/
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v4.3...v4.4
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 1 year ago

EcoAssist - EcoAssist v4.3
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v4.2...v4.3
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 1 year ago

EcoAssist - EcoAssist v4.2
- Annotation in xml to be able to store more information
- human in the loop feature
- minor fixes
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v4.1...v4.2
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 1 year ago

EcoAssist - EcoAssist v4.1
Added human-in-the-loop functionality to verify detections and create training data. Possibility to select an image subset based on specific classes, confidence ranges, and selection methods.
What's Changed
- Automatic localization of git and conda during Windows installation by @BobbyCephy in https://github.com/PetervanLunteren/EcoAssist/pull/11
- Copied Exif data from source image during post processing by @ehallein in https://github.com/PetervanLunteren/EcoAssist/pull/14
New Contributors
- @BobbyCephy made their first contribution in https://github.com/PetervanLunteren/EcoAssist/pull/11
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v4.0...v4.1
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 1 year ago

EcoAssist - EcoAssist v4.0
Added functionality to train object detection models and fixed bugs.
What's Changed
- Fixed a CUDA out of memory bug by @ehallein in https://github.com/PetervanLunteren/EcoAssist/pull/7
Full Changelog: https://github.com/PetervanLunteren/EcoAssist/compare/v3.0...v4.0
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren almost 2 years ago

EcoAssist - EcoAssist v3.0
- New interface
- Postprocessing features work with custom classes
- Accommodates both new and old yolov5 models
- Separate confidence thresholds per feature
- New feature to sort data based on confidence
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren about 2 years ago

EcoAssist - EcoAssist v2.2
- All features work with relative path
- New option to copy or move files when separated
- Fixed bug regarding faulty checkpoint frequency and sample rate
- Lowered the default threshold for images to 0.1 and videos to 0.2
- Improved information text about threshold values and further processing in Timelapse
- Added message box after processing if created .xml files
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 2 years ago

EcoAssist - EcoAssist v2.1
Bug fixes and thoroughly tested.
Features:
- Use either MDv5a or MDv5b to tag animals, persons and vehicles in both images and video's
- Filter out empty images, people, vehicles or animals
- Review and edit annotations using the open-source annotation software labelImg
- Create input file for further processing in Timelapse
- Export .xml label files in Pascal VOC format for further model training
- Manipulate data by drawing boxes or cropping detections
- Use custom models trained from MDv5 using transfer learning
Biosphere - Terrestrial Wildlife
- Python
Published by PetervanLunteren over 2 years ago
