hellochick
Running interface.py "No checkpoint file."
I downloaded from the google drive link ade20K includes 5 files one of them is checkpoint.txt I dropped them on ./model
Then: python inference.py --img-path=./input/outdoor_1.png --dataset=ade20k --filter-scale=2 --model=others
It says: 030] Creating TensorFlow device (/gpu:1) -> (device: 1, name: GeForce GTX 980, pci bus id: 0000:82:00.0) No checkpoint file found.
do we have to change anything on interface.py script?
Also, I installed tensorflow-gpu 1.2.0 due to my CUDA library 8.0
Another attempt, I installed tensorflow-gpu 1.6.0 for CUDA library 8.0 but still running python inference.py --img-path=./input/outdoor_1.png --dataset=ade20k --filter-scale=2 --model=others
generates "no checkpoint file found" and the results are not he same as the one stated here.
Hey @aliericcantona, it seems that the checkpoint is missing, so you cannot load the pre-trained weights. You can refer to #45.
the results are not exactly the same as the one you posted just slightly different (may be because of the slightly trained model difference). The color model (labels) are exactly the same as PSPNET ADE20K or different?
@aliericcantona, I have updated the model but the output results not, so the results would be a little different.
If you want to apply to other datasets, change following four lines
IGNORE_LABEL = 255 # The class number of background INPUT_SIZE = '720, 720' # Input size for training
BATCH_SIZE = 16 LEARNING_RATE = 1e-3 MOMENTUM = 0.9 NUM_CLASSES = 19 NUM_STEPS = 60001 POWER = 0.9 RANDOM_SEED = 1234 WEIGHT_DECAY = 0.0001 PRETRAINED_MODEL = SNAPSHOT_DIR = './snapshots/' SAVE_NUM_IMAGES = 4 SAVE_PRED_EVERY = 50
these codes in train.py，in model file has ade20k weights,but failed to train, PRETRAINED_MODEL how to load ,PRETRAINED_MODEL = ?
