Package: gpkg.object-detect.models
gpkg.object-detect.models#########################*Object detection models (Guild AI)*Models######faster-rcnn-resnet-101======================*Faster RCNN with ResNet 101*Operations^^^^^^^^^^detect------*Detect images using a trained detector*Flags`````**images***Directory containing images to detect (required)*evaluate--------*Evaluate a trained detector*Flags`````**eval-examples***Number of examples to evaluate (all available)*export-and-freeze-----------------*Export a detection graph with checkpoint weights*Flags`````**step***Checkpoint step to use for the frozen graph (latest checkpoint)*train-----*Train detector from scratch*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*transfer-learn--------------*Train detector using transfer learning*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*faster-rcnn-resnet-50=====================*Faster RCNN with ResNet 50*Operations^^^^^^^^^^detect------*Detect images using a trained detector*Flags`````**images***Directory containing images to detect (required)*evaluate--------*Evaluate a trained detector*Flags`````**eval-examples***Number of examples to evaluate (all available)*export-and-freeze-----------------*Export a detection graph with checkpoint weights*Flags`````**step***Checkpoint step to use for the frozen graph (latest checkpoint)*train-----*Train detector from scratch*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*transfer-learn--------------*Train detector using transfer learning*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*pet-images==========*Annotated images from Oxford-IIIT pet dataset*Operations^^^^^^^^^^prepare-------*Prepares pet images for training*ssd-mobilenet-v2================*SSD with MobileNet v2*Operations^^^^^^^^^^detect------*Detect images using a trained detector*Flags`````**images***Directory containing images to detect (required)*evaluate--------*Evaluate a trained detector*Flags`````**eval-examples***Number of examples to evaluate (all available)*export-and-freeze-----------------*Export a detection graph with checkpoint weights*Flags`````**step***Checkpoint step to use for the frozen graph (latest checkpoint)***tflite***Whether or not to export graph with support for TensorFlow Lite (no)Choices:yes  Export graph with support for TensorFlow Liteno   Export graph normally*train-----*Train detector from scratch*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*transfer-learn--------------*Train detector using transfer learning*Flags`````**batch-size***Number of examples in each training batch***clones***Number of model clones. (1)This flag has no effect unless `legacy` is `yes`.Set this value to the number of available GPUs for multi-GPU training.***eval-examples***Number of examples to evaluate after training (all available)This flag has no effect if `legacy` is `yes` (legacy train does notperform evaluation).***legacy***Use legacy training for object detection (no)Multi GPU support is only available with legacy training.Unlike default training, legacy training does not perform an evaluationafter training.Choices:yes  Use legacy training (select for multi GPU support)no   Use default training (does not support multiple GPUs)***quantize***Whether or not to quantize model weights (no)***quantize-delay***Number of steps to train before quantizing***train-steps***Number of steps to train (train indefinitely)*voc-2008-images===============*Visual Object Classes Challenge 2008 images*Operations^^^^^^^^^^prepare-------*Prepare images annotated using Pascal VOC format*Flags`````**random-seed***Seed used for train/validation split (randomly generated)***val-split***Percentage of images reserved for validation (30)*voc-annotated-images====================*Images annotated using Pascal VOC format*Operations^^^^^^^^^^prepare-------*Prepare images annotated using Pascal VOC format*Flags`````**annotations***Directory containing image annotations (required)***images***Directory containing images to prepare (required)***random-seed***Seed used for train/validation split (randomly generated)***val-split***Percentage of images reserved for validation (30)*