We provide some models for Core ML and ML modules.
If you installed Metavision SDK with the packages/installer, the link to download those models was shared during the sign-up (if you are a Prophesee customer, retrieve the link to the model by accessing to your SDK version in the Knowledge Center Download section).
If you are compiling OpenEB, some models can be found in
If you are compiling SDK Pro, some other models can be found in
e2v.ckpt: Pytorch Event to Video pre-trained model which can be used in event to video inference sample The model was trained on a dataset of synthetic events sequences generated by simulation on randomly moving images.
Corner Detection Model
corner_detection_10_heatmaps.ckpt: Pytorch Corner Detection pre-trained model which can be used in Demo of Corner Detection Model The model was trained on a dataset of synthetic events sequences generated by simulation on randomly moving images. It takes as input a tensor of 10 channels and outputs 10 heatmaps.
Object Detection Models
red_event_cube_05_2020.zip: Object Detection TorchScript model, trained with
event_cubepreprocessing method. This model can be used with the C++ Detection & Tracking sample and the Python Detection & Tracking sample. This model was trained on a dataset recorded by a camera positioned on top of a car facing forward, thus the performance of the model can be degraded in other settings.
red_event_cube_all_classes.ckpt: Pytorch object detection model, which can be exported to torchjit model using export_detector Python sample. Note that this model was not trained as much as the TorchScript models listed above, and is mostly delivered to try-out the our export sample.
Pre-Trained models for rock-paper-scissors classification dataset:
convRNN_chifoumi.zip: ConvRNN TorchScript classification which can be used in Classification Inference sample
mobilenetv2_chifoumi.zip: Mobilenetv2 TorchScript classification model which can be used in Classification Inference sample
mobilenetv2_chifoumi_histo_quantized.zip: Mobilenetv2 TorchScript classification model trained with quantized histograms which can be used in Classification Inference sample
chifoumi_rnn.ckpt: ConvRNN Pytorch classification model, which can be exported to torchjit model using export_classifier Python sample.