crf_load_mat = 0; % the densecrf code load MAT files directly (no call SaveMatAsBin.m)
% used ONLY by DownSampleFeature.m
learn_crf = 0; % NOT USED. Set to 0
is_mat = 0; % the results to be evaluated are saved as mat (1) or png (0)
has_postprocess = 1; % has done densecrf post processing (1) or not (0)
is_argmax = 0; % the output has been taken argmax already (e.g., coco dataset).
% assume the argmax takes C-convention (i.e., start from 0)
debug = 0; % if debug, show some results
in the run.py
RUN_TRAIN = 0 # Training #1 (on train_aug)
RUN_TEST = 0 # Test #1 specification (on val or test)
RUN_TRAIN2 = 0 # Training #2 (finetune on trainval_aug)
RUN_TEST2 = 0 # Test #2 on official test set
RUN_SAVE = 0 # Translate and save the model
RUN_DENSECRF = 1 # To Run Densecrf
GRID_SEARCH =0 # To Run ONLY if you dont know what parameters to use for Densecrf
i use my own dataset (3 classes) with your deeplabV2 code ,i train successfully.
BUT when i run crf, i meet some error which all *.png are black.
Percentage of pixels correctly labelled overall: 51.387%
Accuracy for each class (pixel accuracy)
background: 100.000%
greenhouse: 0.000%
plastic_film: 0.000%
Mean Class Accuracy: 33.333%
Accuracy for each class (intersection/union measure)
background: 51.387%
greenhouse: 0.000%
plastic_film: 0.000%
@TheLegendAli in the SetupENV.m is_server = 1;
crf_load_mat = 0; % the densecrf code load MAT files directly (no call SaveMatAsBin.m) % used ONLY by DownSampleFeature.m learn_crf = 0; % NOT USED. Set to 0
is_mat = 0; % the results to be evaluated are saved as mat (1) or png (0) has_postprocess = 1; % has done densecrf post processing (1) or not (0) is_argmax = 0; % the output has been taken argmax already (e.g., coco dataset). % assume the argmax takes C-convention (i.e., start from 0)
debug = 0; % if debug, show some results in the run.py RUN_TRAIN = 0 # Training #1 (on train_aug) RUN_TEST = 0 # Test #1 specification (on val or test) RUN_TRAIN2 = 0 # Training #2 (finetune on trainval_aug) RUN_TEST2 = 0 # Test #2 on official test set RUN_SAVE = 0 # Translate and save the model RUN_DENSECRF = 1 # To Run Densecrf GRID_SEARCH =0 # To Run ONLY if you dont know what parameters to use for Densecrf
i use my own dataset (3 classes) with your deeplabV2 code ,i train successfully. BUT when i run crf, i meet some error which all *.png are black.
Percentage of pixels correctly labelled overall: 51.387% Accuracy for each class (pixel accuracy) background: 100.000% greenhouse: 0.000% plastic_film: 0.000%
Mean Class Accuracy: 33.333% Accuracy for each class (intersection/union measure) background: 51.387% greenhouse: 0.000% plastic_film: 0.000%
Average accuracy: 17.129%