How to effectively read ".yml" files as structures?

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cui
cui on 8 Dec 2020
Edited: cui on 22 Nov 2022 at 23:50
The ".yml" file is also a storage structure similar to the ".xml" file. How do I read the content inside and save it as a struct type structure or dictionary type(introduced in R2022b)? Similar to the new function readstruct function in 2020b.
Similarly, whether format files such as'.json' can be read in matlab with a unified function, such as the readstruct function, the specified'FileType' can be {'.xml','.json','.yml' ,'.xml'} One or more than one kind of'.xml', although there are functions such as jsondecode and xmlread.
My ".yml" file is similar to the following format(in attachments):
#Config File example
save_dir: workspace/nanodet_m
model:
arch:
name: GFL
backbone:
name: ShuffleNetV2
model_size: 1.0x
out_stages: [2,3,4]
activation: LeakyReLU
fpn:
name: PAN
in_channels: [116, 232, 464]
out_channels: 96
start_level: 0
num_outs: 3
head:
name: NanoDetHead
num_classes: 80
input_channel: 96
feat_channels: 96
stacked_convs: 2
share_cls_reg: True
octave_base_scale: 5
scales_per_octave: 1
strides: [8, 16, 32]
reg_max: 7
norm_cfg:
type: BN
loss:
loss_qfl:
name: QualityFocalLoss
use_sigmoid: True
beta: 2.0
loss_weight: 1.0
loss_dfl:
name: DistributionFocalLoss
loss_weight: 0.25
loss_bbox:
name: GIoULoss
loss_weight: 2.0
data:
train:
name: coco
img_path: coco/train2017
ann_path: coco/annotations/instances_train2017.json
input_size: [320,320] #[w,h]
keep_ratio: True
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Accepted Answer

Martin Koch
Martin Koch on 17 Feb 2022
Hi, I wrote a wrapper for SnakeYAML with which you can load and dump YAML:
Requires R2019b or newer.
  12 Comments
Martin Koch
Martin Koch on 19 Jun 2022
Hi, here is a copy of my answer from the GitHub issue:
there are two problems:
  • The underlying SnakeYAML is written for YAML 1.1 for which the first line %YAML:1.0 is not valid (%YAML 1.0 without : would be acceptable). I will update the documentation to mention YAML 1.1.
  • The custom opencv types are not supported.
You can build a workaround like this:
  • Read file into string with fileread
  • Delete all text occurrences of %YAML:1.0 and !!opencv-matrix (e.g. with strrep)
  • Parse modified string with yaml.load
  • Manually convert the content of the data field to a 2D array (e.g. with reshape)
To write YAML files in the same format you have to reverse the above process. However, it will not be formatted such that every row is in a new line.

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More Answers (1)

Walter Roberson
Walter Roberson on 2 Feb 2021
  2 Comments
Razvan
Razvan on 20 Oct 2022
Just for others to know. The function from https://github.com/llerussell/ReadYAML does not properly deals with multi level Yaml files.

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