Pinned Repositories
AIML_Healthcare
algomaster.github.io
HI everyone
Android_image_processing
Annotation_tools
Data_PreProcessing_with_Python
Raspberry-Pi-interfacing-with-MPU6050-motion-sensor
YOLOX
As explained in YOLOX paper published by Zheng GE and Team, they have switched the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results across a large scale range of models. They have won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) using a single YOLOX-L model. Megvii researchers have cleverly integrated and combined outstanding progress in the field of object detection such as decoupling, data enhancement, anchorless and label classification with YOLO, and proposed YOLOX, which not only achieves AP that surpasses YOLOv3, YOLOv4 and YOLOv5 , but also achieved a very competitive reasoning speed. As this is very recent development in YOLO Series; one may face some issues while adapting this model on their custom dataset. In this post, we will walk through how you can train YOLOX to recognize object detection on your custom image Dataset.
YoloX_RDDC2020
YoloX Model training on RDDC2020 Dataset
kp-algomaster's Repositories
kp-algomaster/AIML_Healthcare
kp-algomaster/Data_PreProcessing_with_Python
kp-algomaster/Raspberry-Pi-interfacing-with-MPU6050-motion-sensor
kp-algomaster/YOLOX
As explained in YOLOX paper published by Zheng GE and Team, they have switched the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results across a large scale range of models. They have won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) using a single YOLOX-L model. Megvii researchers have cleverly integrated and combined outstanding progress in the field of object detection such as decoupling, data enhancement, anchorless and label classification with YOLO, and proposed YOLOX, which not only achieves AP that surpasses YOLOv3, YOLOv4 and YOLOv5 , but also achieved a very competitive reasoning speed. As this is very recent development in YOLO Series; one may face some issues while adapting this model on their custom dataset. In this post, we will walk through how you can train YOLOX to recognize object detection on your custom image Dataset.
kp-algomaster/YoloX_RDDC2020
YoloX Model training on RDDC2020 Dataset
kp-algomaster/YOLOX_Training_Custom_DataSet
Megvii researchers have cleverly integrated and combined outstanding progress in the field of object detection such as decoupling, data enhancement, anchorless and label classification with YOLO, and proposed YOLOX, which not only achieves AP that surpasses YOLOv3, YOLOv4 and YOLOv5 , but also achieved a very competitive reasoning speed. As this is very recent development in YOLO Series; one may face some issues while adapting this model on their custom dataset. In this post, we will walk through how you can train YOLOX to recognize object detection on your custom image Dataset.
kp-algomaster/algomaster.github.io
HI everyone
kp-algomaster/Android_image_processing
kp-algomaster/Annotation_tools
kp-algomaster/Attention_OCR_on_Custom_Data
kp-algomaster/avengers_chestxray_detection
kp-algomaster/boost-python-examples
Some examples for the use of boost::python
kp-algomaster/class_imbalance_solutions
kp-algomaster/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
kp-algomaster/kp-algomaster.github.io
kp-algomaster/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
kp-algomaster/Mask_RCNN_Demo
kp-algomaster/musegan
An AI for Music Generation
kp-algomaster/Open-Image-Processing-tool
kp-algomaster/Python38_CV
kp-algomaster/rudimentary-ai-composer
A very basic LSTM composer, doesn't compose any proper music for now
kp-algomaster/SalesforceMobileSDK-Android
Android SDK for Salesforce
kp-algomaster/semi-auto-image-annotation-tool
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
kp-algomaster/Signal-Processing
kp-algomaster/Songbird.ai
A deep learning AI for generating music
kp-algomaster/TensorFlow_lite-Experiments
kp-algomaster/tfjs_coverters
kp-algomaster/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
kp-algomaster/XGBoost_with_Python