alpha-carinae29
alpha-carinae29
This will close #141
Hi, We are gathering various surveillance datasets for training pedestrian detection models and evaluating generalization of different approaches. please list all of these datasets under this issue, thanks
I was wonder if I can run the adaptive learning framework on edge devices such as Jetson TX2 and Jetson Nano. Since the teacher model is a really large model...
As the annotations only exist for the first 2500 frames of the [Oxford Town Center Dataset](https://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html) it helps training accurate models for pedestrian detection if someone can annotate the ramaining...
As all of you know, most of the CNNs work with RGB input images. However to improve the detection's accuracy we can use different input space. For example we can...
Adding a motion tracking algorithm like Optical Flow or Kalman Filter can improve the detection accuracy. please keep all of the conversations and ideas about motion tracking under this issue.
Hi everyone. I have tried to train a SSD Mobilenet V2 model with TLT V2.0 for pedestrian detection with Oxford Town Center dataset based on the instruction provided by Nvidia...
add [AlphaPose](https://github.com/MVIG-SJTU/AlphaPose) Pose Estimator.
add Adaptive Learning support for USB TPU. for more information about Adaptive Learning visit [here](https://github.com/neuralet/neuralet/tree/master/applications/adaptive-learning)
This will delete some of post processing steps since they are irrelevant duo to adding high accuracy pedestrian detectors.