How to deal the dataset with the type of " * .tif "?

[zetn]

Hello! I got some troubles with the project since I just wanna to train a generator on my own set of images whose type is " * .tif ". Of course, I appended the code with type of tif in dataset.lua which didn't work. Here is the error message. Hope for solution, Thanks!!!
zetn@zetn-All-Series:~/dcgan.torch$ DATA_ROOT=ucm dataset=folder th main.lua{
ntrain : inf
beta1 : 0.5
name : "experiment1"
niter : 25
batchSize : 64
ndf : 64
fineSize : 64
nz : 100
loadSize : 96
gpu : 1
ngf : 64
dataset : "folder"
lr : 0.0002
noise : "normal"
nThreads : 4
display_id : 10
display : 1
}
Random Seed: 1352
Starting donkey with id: 1 seed: 1353
table: 0x4092fe20
Starting donkey with id: 3 seed: 1355
table: 0x40672f70
Starting donkey with id: 2 seed: 1354
table: 0x40d49b40
Starting donkey with id: 4 seed: 1356
table: 0x40189e20
Creating train metadata
table: 0x40a0db68
running "find" on each class directory, and concatenate all those filenames into a single file containing all image paths for a given class
now combine all the files to a single large file
load the large concatenated list of sample paths to self.imagePath
Creating train metadata
table: 0x41a1a9a0
running "find" on each class directory, and concatenate all those filenames into a single file containing all image paths for a given class
100 samples found.... 0/100 ....................] ETA: 0ms | Step: 0ms
Updating classList and imageClass appropriately
[=================== 1/1 =====================>] Tot: 0ms | Step: 0ms
now combine all the files to a single large file
Cleaning up temporary files
saved metadata cache at /home/zetn/dcgan.torch/cache/ucm_trainCache.t7
load the large concatenated list of sample paths to self.imagePath
100 samples found.... 0/100 ....................] ETA: 0ms | Step: 0ms
Updating classList and imageClass appropriately
[=================== 1/1 =====================>] Tot: 0ms | Step: 0ms
Cleaning up temporary files
Loading train metadata from cache
saved metadata cache at /home/zetn/dcgan.torch/cache/ucm_trainCache.t7
Loading train metadata from cache
Dataset: folder Size: 100
/home/zetn/torch/install/bin/luajit: /home/zetn/torch/install/share/lua/5.1/threads/threads.lua:183: [thread 2 callback] /home/zetn/torch/install/share/lua/5.1/dok/inline.lua:738: <image.load> unknown image type: tif
stack traceback:
[C]: in function 'error'
/home/zetn/torch/install/share/lua/5.1/dok/inline.lua:738: in function 'error'
/home/zetn/torch/install/share/lua/5.1/image/init.lua:392: in function 'load'
/home/zetn/dcgan.torch/data/donkey_folder.lua:34: in function 'loadImage'
/home/zetn/dcgan.torch/data/donkey_folder.lua:54: in function 'getByClass'
/home/zetn/dcgan.torch/data/dataset.lua:341: in function </home/zetn/dcgan.torch/data/dataset.lua:335>
[C]: in function 'xpcall'
/home/zetn/torch/install/share/lua/5.1/threads/threads.lua:234: in function 'callback'
/home/zetn/torch/install/share/lua/5.1/threads/queue.lua:65: in function </home/zetn/torch/install/share/lua/5.1/threads/queue.lua:41>
[C]: in function 'pcall'
/home/zetn/torch/install/share/lua/5.1/threads/queue.lua:40: in function 'dojob'
[string " local Queue = require 'threads.queue'..."]:15: in main chunk
stack traceback:
[C]: in function 'error'
/home/zetn/torch/install/share/lua/5.1/threads/threads.lua:183: in function 'dojob'
/home/zetn/dcgan.torch/data/data.lua:85: in function 'getBatch'
main.lua:157: in function 'opfunc'
/home/zetn/torch/install/share/lua/5.1/optim/adam.lua:37: in function 'adam'
main.lua:213: in main chunk
[C]: in function 'dofile'
...zetn/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x00405d50

[justlikeUNIBLAB]

imagemagick is a handy command line tool that can (among other things) convert tifs to jpgs
https://imagemagick.org/script/convert.php