Object Detection# DetectNet_v2 Data Input for Object Detection Pre-processing the Dataset Creating a Configuration File Training the Model Evaluating the Model Using Inference on the Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream FasterRCNN Preparing the Input Data Structure Creating a Configuration File Training the model Evaluating the model Running inference on the model Pruning the model Retraining the pruned model Exporting the model YOLOv3 Preparing the Input Data Structure Creating a Configuration File Generate the Anchor Shape Training the Model Evaluating the Model Running Inference on a YOLOv3 Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream YOLOv4 Preparing the Input Data Structure Creating a Configuration File Generate anchor shape Training the Model Evaluating the Model Running Inference on a YOLOv4 Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream YOLOv4-tiny Preparing the Input Data Structure Creating a Configuration File Generate anchor shape Training the Model Evaluating the Model Running Inference on a YOLOv4-tiny Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream SSD Data Input for Object Detection Pre-processing the Dataset Creating a Configuration File Training the Model Evaluating the Model Running Inference on the Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream DSSD Data Input for Object Detection Pre-processing the Dataset Creating a Configuration File Training the Model Evaluating the Model Running Inference on the Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream RetinaNet Data Input for Object Detection Pre-processing the Dataset Creating a Configuration File Training the Model Evaluating the Model Running Inference on a RetinaNet Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream EfficientDet (TF1) Data Input for EfficientDet Pre-processing the Dataset Creating a Configuration File Training the Model Evaluating the Model Running Inference with an EfficientDet Model Pruning the Model Re-training the Pruned Model Exporting the Model Deploying to DeepStream
