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appliedinnovation
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fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
MIT License
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Alexbarnett12/issue17
#25
alexbarnett12
closed
3 years ago
0
Add Comet histogram logging of model weights and activations during training
#24
alexbarnett12
opened
3 years ago
0
Canny edge penalty mask for loss calculation
#23
alexbarnett12
opened
3 years ago
0
Dataset Mixing
#22
alexbarnett12
opened
3 years ago
0
Refactor FastDepthDataset class
#21
alexbarnett12
opened
3 years ago
0
Training falls on phase 3 loss at epoch 80
#20
alexbarnett12
opened
3 years ago
0
bugfix: models not being saved
#19
alexbarnett12
closed
3 years ago
0
Models not being saved during training
#18
alexbarnett12
closed
3 years ago
0
Update model evaluation scheme
#17
alexbarnett12
closed
3 years ago
0
Feature/tiered loss functions
#16
alexbarnett12
closed
3 years ago
0
Investigate different learning rate schedulers
#15
alexbarnett12
opened
3 years ago
0
Created dockerfile
#14
alexbarnett12
closed
3 years ago
0
Feature/loss functions
#13
alexbarnett12
closed
3 years ago
0
added option to convert resnet models with --resnet18 flag
#12
alexbarnett12
closed
3 years ago
0
added option for resnet18
#11
alexbarnett12
closed
3 years ago
0
added l1 loss experiment
#10
alexbarnett12
closed
3 years ago
0
Feature/modular experiments
#9
alexbarnett12
closed
3 years ago
0
added resnet50 as a training and config option
#8
alexbarnett12
closed
3 years ago
0
training script saves raw images as Comet assets now
#7
alexbarnett12
closed
3 years ago
0
Create Dockerfile for training and evaluation
#6
alexbarnett12
closed
3 years ago
0
Better TorchScript conversion script
#5
alexbarnett12
closed
3 years ago
0
Feature/disparity
#4
alexbarnett12
closed
3 years ago
0
Parameterized training script, comet integration, refined evaluation script
#3
alexbarnett12
closed
3 years ago
0
Training stagnates and cannot predict fine-scale features
#2
alexbarnett12
opened
3 years ago
3
Clarify metric units for reported RMSE
#1
alexbarnett12
closed
3 years ago
0