Skip to content

Instantly share code, notes, and snippets.

@DrSleep

DrSleep/README

Last active August 16, 2020 17:04
Show Gist options
  • Save DrSleep/4bce37254c5900545e6b65f6a0858b9c to your computer and use it in GitHub Desktop.
Save DrSleep/4bce37254c5900545e6b65f6a0858b9c to your computer and use it in GitHub Desktop.
Download ZIP
KITTI VISUAL ODOMETRY DATASET
Raw
README
## http://cvlibs.net/datasets/kitti/eval_semantics.php
## https://omnomnom.vision.rwth-aachen.de/data/rwth_kitti_semantics_dataset.zip
### DATASET FOR SEMANTIC SEGMENTATION
Raw
fine_tune.py
IMG_MEAN = np.array((104.00698793,116.66876762,122.67891434), dtype=np.float32)
BATCH_SIZE = 2
DATA_DIRECTORY = './../rwth_kitti_semantics_dataset/'
DATA_LIST_PATH = './../rwth_kitti_semantics_dataset/splits/train_tf.txt'
IGNORE_LABEL = 255
INPUT_SIZE = '321,321'
LEARNING_RATE = 1e-4
NUM_CLASSES = 14
NUM_STEPS = 20000
RANDOM_SEED = 1234
RESTORE_FROM = './deeplab_resnet.ckpt'
SAVE_NUM_IMAGES = 2
SAVE_PRED_EVERY = 10
SNAPSHOT_DIR = './snapshots_finetune/'
Raw
label_colours.py
# colour map
label_colours = [(0, 0, 0),
(0, 0, 255),
(255, 0, 0),
(255,255, 0),
( 0,255, 0),
(255, 0,255),
( 0,255,255),
(255, 0,153),
(153, 0,255),
( 0,153,255),
(153,255, 0),
(255,153, 0),
( 0,255,153),
( 0,153,153)]
Display the source blob
Display the rendered blob
Raw
masks_kitti.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@DrSleep
Copy link
Author

DrSleep commented Apr 28, 2017

Training results
kitti_1
kitti_2
kitti_3
kitti_4
kitti_5
kitti_6
kitti_7
kitti_8
kitti_9
kitti_10

@EternityZY
Copy link

good job！

@JadBatmobile
Copy link

what is the purpuse of IMG_MEAN in fine_tune.py

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment