aclnet¶
Use Case and High-Level Description¶
The AclNet
model is designed to perform sound classification and is trained on internal dataset of environmental sounds for 53 different classes, listed in file <omz_dir>/data/dataset_classes/aclnet_53cl.txt
. For details about the model, see this paper.
The model input is a segment of PCM audio samples in N, C, 1, L
format.
The model output for AclNet
is the sound classifier output for the 53 different environmental sound classes from the internal sound database.
Specification¶
Metric |
Value |
---|---|
Type |
Classification |
GFLOPs |
1.42 |
MParams |
2.71 |
Source framework |
PyTorch* |
Accuracy¶
Metric |
Value |
---|---|
Top 1 |
86.3% |
Top 5 |
92.0% |
Metrics were computed on internal validation dataset according to following publication and paper.
Input¶
Original Model¶
Audio, name - input
, shape - 1, 1, 1, L
, format is N, C, 1, L
, where:
N
- batch sizeC
- channelL
- number of PCM samples (minimum value is 16000)
Converted Model¶
Audio, name - input
, shape - 1, 1, 1, L
, format is N, C, 1, L
, where:
N
- batch sizeC
- channelL
- number of PCM samples (minimum value is 16000)
Output¶
Original Model¶
Sound classifier (see labels file, <omz_dir>/data/dataset_classes/aclnet_53cl.txt
), name - output
, shape - 1, 53
, output data format is N, C
, where:
N
- batch sizeC
- predicted softmax scores for each class in [0, 1] range
Converted Model¶
Sound classifier (see labels file, <omz_dir>/data/dataset_classes/aclnet_53cl.txt
), name - output
, shape - 1, 53
, output data format is N, C
, where:
N
- batch sizeC
- predicted softmax scores for each class in [0, 1] range
Download a Model and Convert it into Inference Engine Format¶
You can download models and if necessary convert them into Inference Engine format using the Model Downloader and other automation tools as shown in the examples below.
An example of using the Model Downloader:
python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
An example of using the Model Converter:
python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
Legal Information¶
The original model is distributed under Apache License, Version 2.0.