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Using Google Cloud Service for Large Scale Image Labelling Installing Google SDK https://cloud.google.com/sdk/docs/quickstart-windows New a Google Cloud Platform Project Download Google Cloud SDK After installation run gcloud init and log in to your account there! Select the GCP Project and the computing zone Finish the SDK configuration! Installing Google API for different programs (like Vision we use) https://cloud.google.com/python/
DeepLabCut Trouble Shooting @(Ponce Lab) TOC {:toc} Install DLC Windows machine, follow the steps in install tutorial to establish the whole conda environment in the machine. Fail at first step Many of us just fail at first step, some error message like
Note on Automatic 3D Instance Segmentation Pipeline In this note I try to summarize several recent works on Automatic 3D Instance Segmentation, with most direct application to saturated reconstruction of neural morphology in an imaging volume (mostly scanning Electral Microscopy, but seems it can be generalized into other imaging modality), which is one of the most important method of high-throughput connectomics1.
How to automatically analyze behavior video? DeepLabCut is a powerful tool to rapidly1 train a neural network (based on ResNet) to track keypoints on movement videos, esp. those of moving human or animals. Thus this is a game changing tool for all kind of behavior quantification for neuroscience and psychology researchers (can be applied to nearly any behavioral science topic, e.g. motor learning, motor control, facial expression, social interaction…). The workflow is relatively simple and it scarcely takes time after the network have been trained, and the video analysis can be done automatically. Because of this it’s really favorable to the reserchers doing long term ecological video recording.