Fixed case sensitivity issue #68
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* Added RetinaNet plugin
…nd pull requests (#42) * Added .github folder with templates for feature request and bug report * Added template for pull requests
* Added LICENSE * minor changes * license name added * copyright(c) added
* Added .github folder with templates for feature request and bug report * Added template for pull requests * Re-arranged .github template files
…changes fixed YOLOv8.py to use the DetectorBase class
* initialized docker file * git clone in dockerfile * git checkout to topguns/dockerfile added in dockerfile * replaced COPY with cp command * replaced ssh with https link of the repo * seperate RUN for each bash command * added / after mkdir commands * removed trailing && after RUN commands * correction in directory structure * cloning directly into topguns/dockerfile branch * removed copying docker scripts to container command * trying to install Python requirements using requirements.txt * changed matplotlib version to 3.7.2 in requirements.txt * conflicts in requirements.txt * changed numpy version in requirements.txt * enter_bash.sh working * testing base.sh and start.sh * added cv-bridge dependency * working on exposing ros2 topics inside the container to host machine * tested docker container, clip and ship * changed model dir path for docker container * cleaned Dockerfile * added requirement.txt, docker instructions * Initialized new Dockerfile with nvidia/cuda as base image * Changes in Readme * Minor changes to detector scripts * Docker container working * Added code to install nano in Dockerfile * Added arg in dockerfile to specify CUDA Version and added docker stop in run_devel.sh * Added feature to enter bash if container is running and remove the container after exit in run_devel. Changed tensorflow version to 2.14.0 * Added feature in run_devel to build docker image if it doesnt exist * Updated readme * Updated readme * correction in run_devel.sh * Attempting to build OpenCV from source * Added option to select base image in run_devel.sh * Env Variable for percep_ws * Updated readme * README.md changes * additions to README.md (#50) * fixed superimposed predictions on consecutive frames * Resolved the error : can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory * Added output class labels and confidences to output image, fixed issue with wrong sizes of bounding boxes * Removed code for building opencv from source from the dockerfiles * Code cleanup and fixed minor bugs * Code cleanup and fixed minor bugs * Changed model weight location --------- Co-authored-by: AaksharGarg <[email protected]> Co-authored-by: deepansh <[email protected]> Co-authored-by: Deepansh Goel <[email protected]> Co-authored-by: topguns837 <[email protected]> Co-authored-by: Jasmeet Singh <[email protected]>
* Added build and test workflow * Corrected IMAGE_NAME varibles in run_devel.sh script * Corrected pull_requests trigger name * Removed -it option from docker run & added docker attach step * Removed PERCEP_WS_PATH environment variable and used github.workspace instead * Corrected container name in docker run * Corrected volume mount path * Removed not required arguments from docker run * Removed docker attach & used docker exec for colcon build * Added | character in run for multi-line command * Added container_name environment variable * Added jobs for lint and test * Updated linting job, added matrix for linter * Added package name field to lint job * Removed pep8 and mypy linter from action workflows * Added copyright notice, corrected according to lint * Updated worflow to pass arguments for linter, made some corrections * Removed arguments from workflow * Updated flake8 test to use setup.cfg as the config * Updated workflow to pass config argument to flake8 lint * Fixed variable name typo * Corrected variable used for config path * Updated lin job to setup ros humble * Added ros distribution field for lint steps * Updated flake8 config from default ament_flake8 config * Added project wide flake8 config file, some more lint corrections
* Re-wrote YOLOv5 Plugin using torch instead of OpenCV * Added copyright to YOLOv5 Detector * Removing flake8 linting issues * Removing flake8 linting issues --------- Co-authored-by: topguns837 <[email protected]>
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Description 📖
The ObjectDetection node is responsible for loading the detectors but the detector_type ROS 2 param is case-sensitive.
Fixed this issue : #56
Fixes # (issue)
If you write
YOLOV5instead ofYOLOv5, the code will raise a ModuleNotFound errorType of change 📜
How Has This Been Tested? 👀
Tested using the given docker images
Test Configuration 🖥️