add files
Browse files- app.py +189 -0
- config.py +25 -0
- label_mapping.csv +729 -0
- model.py +39 -0
- requirements.txt +11 -0
app.py
ADDED
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1 |
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import json
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2 |
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import gradio as gr
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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import requests
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from config import Config
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from model import BirdAST
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import torch
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import librosa
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import noisereduce as nr
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import pandas as pd
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import torch.nn.functional as F
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import random
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from torchaudio.compliance import kaldi
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from torchaudio.functional import resample
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from transformers import ASTFeatureExtractor
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#TAG = "gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k"
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#MODEL = timm.create_model(f"hf_hub:{TAG}", pretrained=True).eval()
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#LABEL_URL = "https://huggingface.co/datasets/huggingface/label-files/raw/main/audioset-id2label.json"
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#AUDIOSET_LABELS = list(json.loads(requests.get(LABEL_URL).content).values())
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FEATURE_EXTRACTOR = ASTFeatureExtractor()
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def plot_mel(sr, x):
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mel_spec = librosa.feature.melspectrogram(y=x, sr=sr, n_mels=224, fmax=10000)
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mel_spec_db = librosa.power_to_db(mel_spec, ref=np.max)
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mel_spec_db = (mel_spec_db - mel_spec_db.min()) / (mel_spec_db.max() - mel_spec_db.min()) # normalize spectrogram to [0,1]
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mel_spec_db = np.stack([mel_spec_db, mel_spec_db, mel_spec_db], axis=-1) # Convert to 3-channel
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fig, ax = plt.subplots(nrows=1, ncols=1, sharex=True)
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librosa.display.specshow(mel_spec_db[:, :, 0], sr=sr, x_axis='time', y_axis='mel', fmin = 0, fmax=10000, ax = ax)
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return fig
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def plot_wave(sr, x):
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ry = nr.reduce_noise(y=x, sr=sr)
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fig, ax = plt.subplots(2, 1, figsize=(12, 8))
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# Plot the original waveform
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librosa.display.waveshow(x, sr=sr, ax=ax[0])
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ax[0].set(title='Original Waveform')
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ax[0].set_xlabel('Time (s)')
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ax[0].set_ylabel('Amplitude')
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# Plot the noise-reduced waveform
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librosa.display.waveshow(ry, sr=sr, ax=ax[1])
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ax[1].set(title='Noise Reduced Waveform')
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ax[1].set_xlabel('Time (s)')
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ax[1].set_ylabel('Amplitude')
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plt.tight_layout()
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return fig
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def predict(audio, start, end):
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sr, x = audio
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x = np.array(x, dtype=np.float64)
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res = preprocess_for_inference(x, sr)
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if start >= end:
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raise gr.Error(f"`start` ({start}) must be smaller than end ({end}s)")
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if x.shape[0] < start * sr:
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raise gr.Error(f"`start` ({start}) must be smaller than audio duration ({x.shape[0] / sr:.0f}s)")
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if x.shape[0] > end * sr:
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end = x.shape[0]/(1.0*sr)
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fig1 = plot_mel(sr, x)
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fig2 = plot_wave(sr, x)
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return res, res, fig1, fig2
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def download_model(url, model_path):
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if not os.path.exists(model_path):
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response = requests.get(url)
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response.raise_for_status() # Ensure the request was successful
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with open(model_path, 'wb') as f:
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f.write(response.content)
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# Model URL and path
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model_url = 'https://huggingface.co/shiyi-li/BirdAST/resolve/main/BirdAST_Baseline_fold_1.pth'
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model_path = 'BirdAST_Baseline_fold_1.pth'
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download_model(model_url, model_path)
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# Load the model (assumes you have the model architecture defined)
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eval_model = BirdAST(Config().backbone_name, Config().n_classes, n_mlp_layers=1, activation='silu')
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state_dict = torch.load('BirdAST_Baseline_fold_1.pth', map_location='cpu')
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eval_model.load_state_dict(state_dict)
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# Set to evaluation mode
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eval_model.eval()
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# Load the species mapping
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label_mapping = pd.read_csv('label_mapping.csv')
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species_id_to_name = {row['species_id']: row['scientific_name'] for index, row in label_mapping.iterrows()}
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def preprocess_for_inference(audio_arr, sr):
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spec = FEATURE_EXTRACTOR(audio_arr, sampling_rate=sr, padding="max_length", return_tensors="pt")
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input_values = spec['input_values'] #.squeeze(0)
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#print(input)
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#print(input.shape)
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results = []
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with torch.no_grad():
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# Perform model evaluation
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output = eval_model(input_values)
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predict_score = F.softmax(output['logits'], dim=1)
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# Get the top 10 predictions
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topk_values, topk_indices = torch.topk(predict_score, 10, dim=1)
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# Map indices to species names and probabilities
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for idx, scores in zip(topk_indices[0], topk_values[0]):
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species_name = species_id_to_name[idx.item()]
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probability = scores.item()
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results.append([species_name, probability])
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return results
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DESCRIPTION = """
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Bird audio classification using SOTA Voice of Jungle Technology.
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"""
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"""
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with gr.Blocks() as demo:
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submit_btn = gr.Button("Submit")
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demo = gr.Interface(
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title="Bird audio classification",
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description=DESCRIPTION,
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fn=predict,
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inputs=["audio", "number", "number"],
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outputs=[
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gr.Dataframe(headers=["class", "score"], row_count=10, label="prediction"),
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gr.Plot(label="waveform"),
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gr.Plot(label="spectrogram"),
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],
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examples=[
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["312_Cissopis_leverinia_1.wav", 0, 5],
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["1094_Pionus_fuscus_2.wav", 0, 10],
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],
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)
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"""
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css = """
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.number-input {
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height: 100%;
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padding-bottom: 60px; /* Adust the value as needed for more or less space */
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}
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.full-height {
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height: 100%;
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}
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.column-container {
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height: 100%;
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}
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"""
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with gr.Blocks(css = css) as demo:
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gr.Markdown("# Bird audio classification")
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gr.Markdown(DESCRIPTION)
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with gr.Row():
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with gr.Column(elem_classes="column-container"):
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start_time_input = gr.Number(label="Start Time", value=0, elem_classes="number-input full-height")
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end_time_input = gr.Number(label="End Time", value=1, elem_classes="number-input full-height")
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with gr.Column():
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audio_input = gr.Audio(label="Input Audio", elem_classes="full-height")
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169 |
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170 |
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with gr.Row():
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raw_class_output = gr.Dataframe(headers=["class", "score"], row_count=10, label="Class Prediction")
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species_output = gr.Dataframe(headers=["class", "score"], row_count=10, label="Species Prediction")
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with gr.Row():
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waveform_output = gr.Plot(label="Waveform")
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spectrogram_output = gr.Plot(label="Spectrogram")
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gr.Examples(
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examples=[
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["312_Cissopis_leverinia_1.wav", 0, 5],
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["1094_Pionus_fuscus_2.wav", 0, 10],
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],
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inputs=[audio_input, start_time_input, end_time_input]
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)
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gr.Button("Predict").click(predict, [audio_input, start_time_input, end_time_input], [raw_class_output, species_output, waveform_output, spectrogram_output])
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demo.launch(share = True)
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config.py
ADDED
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class Config:
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model_name = "BirdAST_Baseline_5folds"
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backbone_name = "MIT/ast-finetuned-audioset-10-10-0.4593"
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n_classes = 728 # number of classes in the dataset
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audio_sr = 16000 #Hz
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segment_length = 10 #s
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fft_window = 0.025 #s
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hop_window_length = 0.01 #s
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n_mels = 128
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low_cut = 1000 #Hz
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high_cut = 8000 #Hz
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top_db = 100
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batch_size = 4
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num_workers = 0
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n_splits = 5
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max_lr = 1e-5
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epochs = 15
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weight_decay = 0.01
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lr_final_div = 1000
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amp = True
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grad_accum_steps = 1
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max_grad_norm = 1e7
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print_epoch_freq = 1
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print_freq = 500
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random_seed = 2046
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label_mapping.csv
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
scientific_name,species_id
|
2 |
+
Accipiter_superciliosus,0
|
3 |
+
Akletos_melanoceps,1
|
4 |
+
Amazona_amazonica,2
|
5 |
+
Amazona_diadema,3
|
6 |
+
Amazona_farinosa,4
|
7 |
+
Amazona_festiva,5
|
8 |
+
Amblycercus_holosericeus,6
|
9 |
+
Ammodramus_aurifrons,7
|
10 |
+
Ammonastes_pelzelni,8
|
11 |
+
Ampelion_rufaxilla,9
|
12 |
+
Anabazenops_dorsalis,10
|
13 |
+
Anairetes_parulus,11
|
14 |
+
Andigena_hypoglauca,12
|
15 |
+
Anhima_cornuta,13
|
16 |
+
Anisognathus_lacrymosus,14
|
17 |
+
Anthracothorax_viridigula,15
|
18 |
+
Antrostomus_rufus,16
|
19 |
+
Ara_ararauna,17
|
20 |
+
Ara_chloropterus,18
|
21 |
+
Ara_severus,19
|
22 |
+
Aramides_cajaneus,20
|
23 |
+
"Aramus_Vieillot,",21
|
24 |
+
Aratinga_leucophthalma,22
|
25 |
+
Ardea_cocoi,23
|
26 |
+
Arremon_abeillei,24
|
27 |
+
Arremon_assimilis,25
|
28 |
+
Arremon_taciturnus,26
|
29 |
+
Asthenes_flammulata,27
|
30 |
+
Atlapetes_latinuchus,28
|
31 |
+
Atticora_tibialis,29
|
32 |
+
Attila_bolivianus,30
|
33 |
+
Attila_cinnamomeus,31
|
34 |
+
Attila_citriniventris,32
|
35 |
+
Attila_spadiceus,33
|
36 |
+
Automolus_infuscatus,34
|
37 |
+
Automolus_ochrolaemus,35
|
38 |
+
Automolus_paraensis,36
|
39 |
+
Automolus_rufipileatus,37
|
40 |
+
Automolus_subulatus,38
|
41 |
+
Basileuterus_tristriatus,39
|
42 |
+
Berlepschia_rikeri,40
|
43 |
+
Boissonneaua_matthewsii,41
|
44 |
+
Brotogeris_chrysoptera,42
|
45 |
+
Brotogeris_cyanoptera,43
|
46 |
+
Brotogeris_sanctithomae,44
|
47 |
+
Brotogeris_versicolurus,45
|
48 |
+
Bucco_capensis,46
|
49 |
+
Buteo_nitidus,47
|
50 |
+
Buteogallus_schistaceus,48
|
51 |
+
Buteogallus_urubitinga,49
|
52 |
+
Buthraupis_montana,50
|
53 |
+
Cacicus_cela,51
|
54 |
+
Cacicus_chrysonotus,52
|
55 |
+
Cacicus_haemorrhous,53
|
56 |
+
Cacicus_leucoramphus,54
|
57 |
+
Calidris_fuscicollis,55
|
58 |
+
Campephilus_melanoleucos,56
|
59 |
+
Campephilus_pollens,57
|
60 |
+
Campephilus_rubricollis,58
|
61 |
+
Camptostoma_obsoletum,59
|
62 |
+
Campylorhamphus_procurvoides,60
|
63 |
+
Campylorhynchus_fasciatus,61
|
64 |
+
Cantorchilus_leucotis,62
|
65 |
+
Capito_auratus,63
|
66 |
+
Capito_aurovirens,64
|
67 |
+
Capito_niger,65
|
68 |
+
Capsiempis_flaveola,66
|
69 |
+
Carduelis_magellanica,67
|
70 |
+
Caryothraustes_canadensis,68
|
71 |
+
Catharus_fuscater,69
|
72 |
+
Celeus_elegans,70
|
73 |
+
Celeus_flavus,71
|
74 |
+
Celeus_grammicus,72
|
75 |
+
Celeus_torquatus,73
|
76 |
+
Celeus_undatus,74
|
77 |
+
Cephalopterus_ornatus,75
|
78 |
+
Ceratopipra_erythrocephala,76
|
79 |
+
Ceratotriccus_granadensis,77
|
80 |
+
Cercomacra_cinerascens,78
|
81 |
+
Cercomacra_manu,79
|
82 |
+
Cercomacra_nigrescens,80
|
83 |
+
Cercomacroides_fuscicauda,81
|
84 |
+
Cercomacroides_serva,82
|
85 |
+
Cercomacroides_tyrannina,83
|
86 |
+
Certhiasomus_stictolaemus,84
|
87 |
+
Certhiaxis_cinnamomeus,85
|
88 |
+
Certhiaxis_mustelinus,86
|
89 |
+
Chaetura_brachyura,87
|
90 |
+
Chaetura_spinicaudus,88
|
91 |
+
Chamaeza_mollissima,89
|
92 |
+
Chamaeza_nobilis,90
|
93 |
+
Charadrius_collaris,91
|
94 |
+
Chelidoptera_tenebrosa,92
|
95 |
+
Chionomesa_fimbriata,93
|
96 |
+
Chiroxiphia_pareola,94
|
97 |
+
Chlorestes_cyanus,95
|
98 |
+
Chloroceryle_americana,96
|
99 |
+
Chlorophanes_spiza,97
|
100 |
+
Chlorophonia_pyrrhophrys,98
|
101 |
+
Chlorornis_riefferii,99
|
102 |
+
Chlorospingus_flavopectus,100
|
103 |
+
Chlorostilbon_mellisugus,101
|
104 |
+
Chlorostilbon_olivaresi,102
|
105 |
+
Chordeiles_pusillus,103
|
106 |
+
Chrysomus_icterocephalus,104
|
107 |
+
Ciccaba_albitarsis,105
|
108 |
+
Cinnycerthia_peruana,106
|
109 |
+
Cissopis_leverianus,107
|
110 |
+
Cistothorus_platensis,108
|
111 |
+
Cnemoscopus_rubrirostris,109
|
112 |
+
Cnemotriccus_fuscatus,110
|
113 |
+
Cnipodectes_subbrunneus,111
|
114 |
+
Coccycua_minuta,112
|
115 |
+
Coccyzus_melacoryphus,113
|
116 |
+
Coeligena_violifer,114
|
117 |
+
"Coereba_Vieillot,",115
|
118 |
+
Colaptes_atricollis,116
|
119 |
+
Colibri_coruscans,117
|
120 |
+
Columba_speciosa,118
|
121 |
+
Columbina_cruziana,119
|
122 |
+
Columbina_minuta,120
|
123 |
+
Conirostrum_bicolor,121
|
124 |
+
Conirostrum_margaritae,122
|
125 |
+
Conopias_parvus,123
|
126 |
+
Conopias_trivirgatus,124
|
127 |
+
Conopophaga_aurita,125
|
128 |
+
Contopus_fumigatus,126
|
129 |
+
Contopus_punensis,127
|
130 |
+
Corythopis_torquatus,128
|
131 |
+
Cranioleuca_antisiensis,129
|
132 |
+
Cranioleuca_berlepschi,130
|
133 |
+
Cranioleuca_gutturata,131
|
134 |
+
Cranioleuca_muelleri,132
|
135 |
+
Cranioleuca_vulpecula,133
|
136 |
+
Cranioleuca_vulpina,134
|
137 |
+
Crax_alector,135
|
138 |
+
Crax_globulosa,136
|
139 |
+
Crotophaga_ani,137
|
140 |
+
Crotophaga_major,138
|
141 |
+
Crypturellus_bartletti,139
|
142 |
+
Crypturellus_casiquiare,140
|
143 |
+
Crypturellus_cinereus,141
|
144 |
+
Crypturellus_duidae,142
|
145 |
+
Crypturellus_soui,143
|
146 |
+
Crypturellus_undulatus,144
|
147 |
+
Crypturellus_variegatus,145
|
148 |
+
Cyanerpes_caeruleus,146
|
149 |
+
Cyanicterus_cyanicterus,147
|
150 |
+
Cyanocorax_heilprini,148
|
151 |
+
Cyanocorax_violaceus,149
|
152 |
+
Cyanocorax_yncas,150
|
153 |
+
Cyanoloxia_rothschildii,151
|
154 |
+
Cyanolyca_viridicyanus,152
|
155 |
+
Cyclarhis_gujanensis,153
|
156 |
+
Cymbilaimus_lineatus,154
|
157 |
+
Cyphorhinus_arada,155
|
158 |
+
Cyphorhinus_thoracicus,156
|
159 |
+
Cyphos_macrodactylus,157
|
160 |
+
Dacnis_albiventris,158
|
161 |
+
Daptrius_ater,159
|
162 |
+
Deconychura_longicauda,160
|
163 |
+
Dendrexetastes_rufigula,161
|
164 |
+
Dendrocincla_fuliginosa,162
|
165 |
+
Dendrocincla_merula,163
|
166 |
+
Dendrocolaptes_certhia,164
|
167 |
+
Dendrocolaptes_hoffmannsi,165
|
168 |
+
Dendrocolaptes_picumnus,166
|
169 |
+
Dendrocygna_autumnalis,167
|
170 |
+
Dendroplex_kienerii,168
|
171 |
+
Deroptyus_accipitrinus,169
|
172 |
+
Dichrozona_cincta,170
|
173 |
+
Diglossa_cyanea,171
|
174 |
+
Diglossa_mystacalis,172
|
175 |
+
Diglossa_sittoides,173
|
176 |
+
Donacobius_atricapilla,174
|
177 |
+
Dromococcyx_phasianellus,175
|
178 |
+
Drymophila_devillei,176
|
179 |
+
Drymophila_striaticeps,177
|
180 |
+
Dryocopus_lineatus,178
|
181 |
+
Egretta_alba,179
|
182 |
+
Egretta_thula,180
|
183 |
+
Elaenia_flavogaster,181
|
184 |
+
Elaenia_pallatangae,182
|
185 |
+
Elaenia_pelzelni,183
|
186 |
+
Elaenia_ruficeps,184
|
187 |
+
Elliotomyia_chionogaster,185
|
188 |
+
Empidonomus_varius,186
|
189 |
+
Epinecrophylla_amazonica,187
|
190 |
+
Epinecrophylla_gutturalis,188
|
191 |
+
Epinecrophylla_haematonota,189
|
192 |
+
Epinecrophylla_leucophthalma,190
|
193 |
+
Epinecrophylla_ornata,191
|
194 |
+
Eriocnemis_alinae,192
|
195 |
+
Eubucco_richardsoni,193
|
196 |
+
Euchrepomis_humeralis,194
|
197 |
+
Eucometis_penicillata,195
|
198 |
+
Euphonia_cayennensis,196
|
199 |
+
Euphonia_chlorotica,197
|
200 |
+
Euphonia_chrysopasta,198
|
201 |
+
Euphonia_cyanocephala,199
|
202 |
+
Euphonia_minuta,200
|
203 |
+
Euphonia_plumbea,201
|
204 |
+
Euphonia_rufiventris,202
|
205 |
+
Euphonia_xanthogaster,203
|
206 |
+
Eupsittula_pertinax,204
|
207 |
+
Eurypygidae,205
|
208 |
+
Falco_deiroleucus,206
|
209 |
+
Falco_femoralis,207
|
210 |
+
Falco_magnirostris,208
|
211 |
+
Falco_rufigularis,209
|
212 |
+
Florisuga_mellivora,210
|
213 |
+
Formicarius_analis,211
|
214 |
+
Formicarius_colma,212
|
215 |
+
Formicivora_grisea,213
|
216 |
+
Forpus_crassirostris,214
|
217 |
+
Forpus_xanthops,215
|
218 |
+
Frederickena_unduliger,216
|
219 |
+
Frederickena_viridis,217
|
220 |
+
Fringilla_capensis,218
|
221 |
+
Fringilla_psaltria,219
|
222 |
+
Furnarius_figulus,220
|
223 |
+
Furnarius_leucopus,221
|
224 |
+
Furnarius_minor,222
|
225 |
+
Furnarius_torridus,223
|
226 |
+
Galbacyrhynchus_leucotis,224
|
227 |
+
Galbalcyrhynchus_purusianus,225
|
228 |
+
Galbula_cyanescens,226
|
229 |
+
Galbula_cyanicollis,227
|
230 |
+
Galbula_dea,228
|
231 |
+
Galbula_galbula,229
|
232 |
+
Galbula_leucogastra,230
|
233 |
+
Galbula_ruficauda,231
|
234 |
+
Galbula_tombacea,232
|
235 |
+
Gallinula_galeata,233
|
236 |
+
Geothlypis_aequinoctialis,234
|
237 |
+
Geranospiza_caerulescens,235
|
238 |
+
Glaucidium_bolivianum,236
|
239 |
+
Glaucidium_brasilianum,237
|
240 |
+
Glaucidium_hardyi,238
|
241 |
+
Glyphorynchus_spirurus,239
|
242 |
+
Grallaria_blakei,240
|
243 |
+
Grallaria_carrikeri,241
|
244 |
+
Grallaria_obscura,242
|
245 |
+
Grallaria_occabambae,243
|
246 |
+
Grallaria_przewalskii,244
|
247 |
+
Grallaria_quitensis,245
|
248 |
+
Grallaria_ruficapilla,246
|
249 |
+
Grallaria_squamigera,247
|
250 |
+
Grallaricula_leymebambae,248
|
251 |
+
Grallaricula_ochraceifrons,249
|
252 |
+
Graydidascalus_brachyurus,250
|
253 |
+
Gymnomystax_mexicanus,251
|
254 |
+
Gymnopithys_leucaspis,252
|
255 |
+
Gymnopithys_rufigula,253
|
256 |
+
Gymnopithys_salvini,254
|
257 |
+
Habia_rubica,255
|
258 |
+
Hafferia_fortis,256
|
259 |
+
Haplospiza_rustica,257
|
260 |
+
Harpia_harpyja,258
|
261 |
+
Heliangelus_amethysticollis,259
|
262 |
+
Helicolestes_hamatus,260
|
263 |
+
Heliornis_fulica,261
|
264 |
+
Hemithraupis_flavicollis,262
|
265 |
+
Hemitriccus_griseipectus,263
|
266 |
+
Hemitriccus_inornatus,264
|
267 |
+
Hemitriccus_josephinae,265
|
268 |
+
Hemitriccus_minimus,266
|
269 |
+
Hemitriccus_minor,267
|
270 |
+
Hemitriccus_zosterops,268
|
271 |
+
Henicorhina_leucophrys,269
|
272 |
+
Henicorhina_leucoptera,270
|
273 |
+
Henicorhina_leucosticta,271
|
274 |
+
Herpetotheres_cachinnans,272
|
275 |
+
Herpsilochmus_axillaris,273
|
276 |
+
Herpsilochmus_dorsimaculatus,274
|
277 |
+
Herpsilochmus_dugandi,275
|
278 |
+
Herpsilochmus_parkeri,276
|
279 |
+
Herpsilochmus_praedictus,277
|
280 |
+
Herpsilochmus_stotzi,278
|
281 |
+
Heterocercus_aurantiivertex,279
|
282 |
+
Heterocercus_flavivertex,280
|
283 |
+
Hoploxypterus_cayanus,281
|
284 |
+
Hylexetastes_perrotii,282
|
285 |
+
Hylexetastes_uniformis,283
|
286 |
+
Hylocharis_sapphirina,284
|
287 |
+
Hylopezus_macularius,285
|
288 |
+
Hylophilus_brunneiceps,286
|
289 |
+
Hylophilus_muscicapinus,287
|
290 |
+
Hylophilus_olivaceus,288
|
291 |
+
Hylophilus_pectoralis,289
|
292 |
+
Hylophilus_semicinereus,290
|
293 |
+
Hylophilus_thoracicus,291
|
294 |
+
Hylophylax_naevius,292
|
295 |
+
Hylophylax_punctulatus,293
|
296 |
+
Hypnelus_bicinctus,294
|
297 |
+
Hypocnemis_cantator,295
|
298 |
+
Hypocnemis_flavescens,296
|
299 |
+
Hypocnemis_hypoxantha,297
|
300 |
+
Hypocnemis_peruviana,298
|
301 |
+
Hypocnemis_rondoni,299
|
302 |
+
Hypocnemis_striata,300
|
303 |
+
Hypocnemoides_maculicauda,301
|
304 |
+
Hypocnemoides_melanopogon,302
|
305 |
+
Ibycter_americanus,303
|
306 |
+
Icterus_cayanensis,304
|
307 |
+
Ictinia_plumbea,305
|
308 |
+
Incaspiza_laeta,306
|
309 |
+
Incaspiza_watkinsi,307
|
310 |
+
Inezia_subflava,308
|
311 |
+
Iodopleura_isabellae,309
|
312 |
+
Iridosornis_reinhardti,310
|
313 |
+
Isleria_guttata,311
|
314 |
+
Islerothraupis_luctuosa,312
|
315 |
+
Jacamerops_aureus,313
|
316 |
+
Jacana_jacana,314
|
317 |
+
Kleinothraupis_atropileus,315
|
318 |
+
Knipolegus_orenocensis,316
|
319 |
+
Lampropsar_tanagrinus,317
|
320 |
+
Lamprospiza_melanoleuca,318
|
321 |
+
Lanio_fulvus,319
|
322 |
+
Lanio_versicolor,320
|
323 |
+
Laniocera_hypopyrra,321
|
324 |
+
Larus_serranus,322
|
325 |
+
Laterallus_exilis,323
|
326 |
+
Lathrotriccus_euleri,324
|
327 |
+
Leistes_bellicosus,325
|
328 |
+
Lepidocolaptes_duidae,326
|
329 |
+
Lepidocolaptes_fatimalimae,327
|
330 |
+
Lepidocolaptes_fuscicapillus,328
|
331 |
+
Lepidothrix_coronata,329
|
332 |
+
Lepidothrix_nattereri,330
|
333 |
+
Lepidothrix_serena,331
|
334 |
+
Leptodon_cayanensis,332
|
335 |
+
Leptopogon_taczanowskii,333
|
336 |
+
Leptotila_rufaxilla,334
|
337 |
+
Leptotila_verreauxi,335
|
338 |
+
Leuconotopicus_fumigatus,336
|
339 |
+
Leucopternis_kuhli,337
|
340 |
+
Liosceles_thoracicus,338
|
341 |
+
Lipaugus_vociferans,339
|
342 |
+
Loddigesia_mirabilis,340
|
343 |
+
Lophostrix_cristata,341
|
344 |
+
Lophotriccus_galeatus,342
|
345 |
+
Lophotriccus_vitiosus,343
|
346 |
+
Lurocalis_rufiventris,344
|
347 |
+
Malacoptila_fusca,345
|
348 |
+
Manacus_manacus,346
|
349 |
+
Margarornis_squamiger,347
|
350 |
+
Mazaria_propinqua,348
|
351 |
+
Mecocerculus_stictopterus,349
|
352 |
+
Megascops_albogularis,350
|
353 |
+
Megascops_choliba,351
|
354 |
+
Megascops_ingens,352
|
355 |
+
Megascops_petersoni,353
|
356 |
+
Megascops_watsonii,354
|
357 |
+
Megastictus_margaritatus,355
|
358 |
+
Melanerpes_cruentatus,356
|
359 |
+
Melanopareia_maranonica,357
|
360 |
+
Micrastur_gilvicollis,358
|
361 |
+
Micrastur_mintoni,359
|
362 |
+
Micrastur_mirandollei,360
|
363 |
+
Micrastur_ruficollis,361
|
364 |
+
Micrastur_semitorquatus,362
|
365 |
+
Microbates_collaris,363
|
366 |
+
Microcerculus_bambla,364
|
367 |
+
Microcerculus_marginatus,365
|
368 |
+
Microrhopias_quixensis,366
|
369 |
+
Milvago_chimachima,367
|
370 |
+
Mimus_longicaudatus,368
|
371 |
+
Mionectes_oleagineus,369
|
372 |
+
Mionectes_striaticollis,370
|
373 |
+
Mitrephanes_olivaceus,371
|
374 |
+
Monasa_atra,372
|
375 |
+
Monasa_morphoeus,373
|
376 |
+
Monasa_nigrifrons,374
|
377 |
+
Muscicapa_similis,375
|
378 |
+
Myadestes_ralloides,376
|
379 |
+
Myiarchus_cephalotes,377
|
380 |
+
Myiarchus_swainsoni,378
|
381 |
+
Myiarchus_tuberculifer,379
|
382 |
+
Myiarchus_tyrannulus,380
|
383 |
+
Myioborus_melanocephalus,381
|
384 |
+
Myioborus_miniatus,382
|
385 |
+
Myiodynastes_maculatus,383
|
386 |
+
Myiopagis_caniceps,384
|
387 |
+
Myiopagis_flavivertex,385
|
388 |
+
Myiopagis_gaimardii,386
|
389 |
+
Myiophobus_cryptoxanthus,387
|
390 |
+
Myiornis_ecaudatus,388
|
391 |
+
Myiotheretes_fumigatus,389
|
392 |
+
Myiothlypis_coronata,390
|
393 |
+
Myiothlypis_luteoviridis,391
|
394 |
+
Myiothlypis_nigrocristata,392
|
395 |
+
Myiozetetes_cayanensis,393
|
396 |
+
Myiozetetes_luteiventris,394
|
397 |
+
Myornis_senilis,395
|
398 |
+
Myrmeciza_atrothorax,396
|
399 |
+
Myrmeciza_longipes,397
|
400 |
+
Myrmelastes_humaythae,398
|
401 |
+
Myrmelastes_hyperythrus,399
|
402 |
+
Myrmelastes_leucostigma,400
|
403 |
+
Myrmelastes_rufifacies,401
|
404 |
+
Myrmoborus_leucophrys,402
|
405 |
+
Myrmoborus_lugubris,403
|
406 |
+
Myrmoborus_melanurus,404
|
407 |
+
Myrmoborus_myotherinus,405
|
408 |
+
Myrmochanes_hemileucus,406
|
409 |
+
Myrmoderus_ferruginea,407
|
410 |
+
Myrmornis_torquata,408
|
411 |
+
Myrmothera_campanisona,409
|
412 |
+
Myrmotherula_ambigua,410
|
413 |
+
Myrmotherula_assimilis,411
|
414 |
+
Myrmotherula_axillaris,412
|
415 |
+
Myrmotherula_brachyura,413
|
416 |
+
Myrmotherula_cherriei,414
|
417 |
+
Myrmotherula_iheringi,415
|
418 |
+
Myrmotherula_klagesi,416
|
419 |
+
Myrmotherula_longipennis,417
|
420 |
+
Myrmotherula_menetriesii,418
|
421 |
+
Nasica_longirostris,419
|
422 |
+
Nemosia_pileata,420
|
423 |
+
Neoctantes_niger,421
|
424 |
+
Neopelma_chrysocephalum,422
|
425 |
+
Neopipo_cinnamomea,423
|
426 |
+
Nesotriccus_tumbezanus,424
|
427 |
+
Nonnula_sclateri,425
|
428 |
+
Notharchus_hyperrhynchus,426
|
429 |
+
Notharchus_ordii,427
|
430 |
+
Notharchus_tectus,428
|
431 |
+
Nothocrax_urumutum,429
|
432 |
+
Nyctalops_stygius,430
|
433 |
+
Nyctibius_grandis,431
|
434 |
+
Nyctibius_leucopterus,432
|
435 |
+
Nyctidromus_albicollis,433
|
436 |
+
Nyctiprogne_leucopyga,434
|
437 |
+
Nystactes_tamatia,435
|
438 |
+
Nystalus_obamai,436
|
439 |
+
Ochthoeca_cinnamomeiventris,437
|
440 |
+
Ochthoeca_diadema,438
|
441 |
+
Ochthoeca_pulchella,439
|
442 |
+
Ochthoeca_thoracica,440
|
443 |
+
Ocreatus_underwoodii,441
|
444 |
+
Odontophorus_gujanensis,442
|
445 |
+
Onychorhynchus_coronatus,443
|
446 |
+
Opisthocomidae,444
|
447 |
+
Ornithion_inerme,445
|
448 |
+
Ortalis_guttata,446
|
449 |
+
Ortalis_motmot,447
|
450 |
+
Pachyramphus_castaneus,448
|
451 |
+
Pachyramphus_marginatus,449
|
452 |
+
Pachyramphus_minor,450
|
453 |
+
Pachyramphus_polychopterus,451
|
454 |
+
Pachyramphus_rufus,452
|
455 |
+
Pachyramphus_surinamus,453
|
456 |
+
Pachyramphus_versicolor,454
|
457 |
+
Pachysylvia_hypoxantha,455
|
458 |
+
Pardirallus_sanguinolentus,456
|
459 |
+
Paroaria_gularis,457
|
460 |
+
Patagioenas_cayennensis,458
|
461 |
+
Patagioenas_plumbea,459
|
462 |
+
Patagioenas_subvinacea,460
|
463 |
+
Penelope_jacquacu,461
|
464 |
+
Penelope_montagnii,462
|
465 |
+
Percnostola_rufifrons,463
|
466 |
+
Perissocephalus_tricolor,464
|
467 |
+
Phacellodomus_rufifrons,465
|
468 |
+
Phaeomyias_murina,466
|
469 |
+
Phaeothlypis_fulvicauda,467
|
470 |
+
Phaeothlypis_rivularis,468
|
471 |
+
Phaethornis_guy,469
|
472 |
+
Phaethornis_hispidus,470
|
473 |
+
Phaethornis_malaris,471
|
474 |
+
Phaethornis_ruber,472
|
475 |
+
Phaethornis_rupurumii,473
|
476 |
+
Phaethornis_superciliosus,474
|
477 |
+
Phaetusa_simplex,475
|
478 |
+
Pharomachrus_auriceps,476
|
479 |
+
Pharomachrus_pavoninus,477
|
480 |
+
Pheucticus_chrysogaster,478
|
481 |
+
Pheugopedius_coraya,479
|
482 |
+
Pheugopedius_euophrys,480
|
483 |
+
Pheugopedius_genibarbis,481
|
484 |
+
Pheugopedius_paucimaculatus,482
|
485 |
+
Philydor_erythropterum,483
|
486 |
+
Philydor_pyrrhodes,484
|
487 |
+
Phlegopsis_erythroptera,485
|
488 |
+
Phlegopsis_nigromaculata,486
|
489 |
+
Phoenicircus_carnifex,487
|
490 |
+
Phoenicircus_nigricollis,488
|
491 |
+
Phyllaemulor_bracteatus,489
|
492 |
+
Phyllomyias_plumbeiceps,490
|
493 |
+
Phylloscartes_gualaquizae,491
|
494 |
+
Phylloscartes_ventralis,492
|
495 |
+
Piaya_cayana,493
|
496 |
+
Piaya_melanogaster,494
|
497 |
+
Piculus_chrysochloros,495
|
498 |
+
Piculus_flavigula,496
|
499 |
+
Picumnus_castelnau,497
|
500 |
+
Picumnus_exilis,498
|
501 |
+
Picumnus_lafresnayi,499
|
502 |
+
Picumnus_steindachneri,500
|
503 |
+
Picumnus_varzeae,501
|
504 |
+
Pionites_melanocephalus,502
|
505 |
+
Pionus_fuscus,503
|
506 |
+
Pionus_menstruus,504
|
507 |
+
Pipile_cumanensis,505
|
508 |
+
Pipra_aureola,506
|
509 |
+
Pipra_pipra,507
|
510 |
+
Pipraeidea_bonariensis,508
|
511 |
+
Pipreola_arcuata,509
|
512 |
+
Piprites_chloris,510
|
513 |
+
Piranga_hepatica,511
|
514 |
+
Pitangus_lictor,512
|
515 |
+
Pitangus_sulphuratus,513
|
516 |
+
Pithys_albifrons,514
|
517 |
+
Platyrinchus_coronatus,515
|
518 |
+
Platyrinchus_platyrhynchos,516
|
519 |
+
Poecilotriccus_calopterus,517
|
520 |
+
Poecilotriccus_capitalis,518
|
521 |
+
Poecilotriccus_latirostris,519
|
522 |
+
Poecilotriccus_luluae,520
|
523 |
+
Poecilotriccus_senex,521
|
524 |
+
Polioptila_attenboroughi,522
|
525 |
+
Polioptila_guianensis,523
|
526 |
+
Polioptila_plumbea,524
|
527 |
+
Polytmus_theresiae,525
|
528 |
+
Progne_subis,526
|
529 |
+
Psarocolius_angustifrons,527
|
530 |
+
Psarocolius_bifasciatus,528
|
531 |
+
Psarocolius_decumanus,529
|
532 |
+
Psarocolius_viridis,530
|
533 |
+
Pseudastur_albicollis,531
|
534 |
+
Pseudocolaptes_boissonneauii,532
|
535 |
+
Pseudotriccus_ruficeps,533
|
536 |
+
Psittacara_frontatus,534
|
537 |
+
Psittacara_mitratus,535
|
538 |
+
Psophia_crepitans,536
|
539 |
+
Pteroglossus_aracari,537
|
540 |
+
Pteroglossus_azara,538
|
541 |
+
Pteroglossus_beauharnaisii,539
|
542 |
+
Pteroglossus_castanotis,540
|
543 |
+
Pulsatrix_perspicillata,541
|
544 |
+
Pygiptila_stellaris,542
|
545 |
+
Pygochelidon_melanoleuca,543
|
546 |
+
Pyriglena_maura,544
|
547 |
+
Pyrilia_aurantiocephala,545
|
548 |
+
Pyrilia_barrabandi,546
|
549 |
+
Pyrilia_caica,547
|
550 |
+
Pyrrhomyias_cinnamomeus,548
|
551 |
+
Pyrrhura_roseifrons,549
|
552 |
+
Querula_purpurata,550
|
553 |
+
Ramphastos_sulfuratus,551
|
554 |
+
Ramphastos_tucanus,552
|
555 |
+
Ramphastos_vitellinus,553
|
556 |
+
Ramphocaenus_melanurus,554
|
557 |
+
Ramphocelus_carbo,555
|
558 |
+
Ramphocelus_nigrogularis,556
|
559 |
+
Ramphotrigon_megacephalum,557
|
560 |
+
Ramphotrigon_ruficauda,558
|
561 |
+
Rhegmatorhina_berlepschi,559
|
562 |
+
Rhegmatorhina_cristata,560
|
563 |
+
Rhegmatorhina_hoffmannsi,561
|
564 |
+
Rhegmatorhina_melanosticta,562
|
565 |
+
Rhynchocyclus_olivaceus,563
|
566 |
+
Rhytipterna_immunda,564
|
567 |
+
Rhytipterna_simplex,565
|
568 |
+
Rostrhamus_sociabilis,566
|
569 |
+
Rufirallus_castaneiceps,567
|
570 |
+
Rufirallus_viridis,568
|
571 |
+
Rupicola_rupicola,569
|
572 |
+
Rynchops_niger,570
|
573 |
+
Sakesphorus_canadensis,571
|
574 |
+
Sakesphorus_luctuosus,572
|
575 |
+
Saltator_coerulescens,573
|
576 |
+
Saltator_grossus,574
|
577 |
+
Saltator_maximus,575
|
578 |
+
Saltator_striatipectus,576
|
579 |
+
Schiffornis_major,577
|
580 |
+
Schiffornis_turdina,578
|
581 |
+
Schistocichla_schistacea,579
|
582 |
+
Schizoeaca_fuliginosa,580
|
583 |
+
Sciaphylax_castanea,581
|
584 |
+
Sciaphylax_hemimelaena,582
|
585 |
+
Sclateria_naevia,583
|
586 |
+
Sclerurus_obscurior,584
|
587 |
+
Sclerurus_rufigularis,585
|
588 |
+
Scytalopus_altirostris,586
|
589 |
+
Scytalopus_atratus,587
|
590 |
+
Scytalopus_femoralis,588
|
591 |
+
Scytalopus_intermedius,589
|
592 |
+
Scytalopus_parvirostris,590
|
593 |
+
Selenidera_gouldii,591
|
594 |
+
Selenidera_nattereri,592
|
595 |
+
Selenidera_piperivora,593
|
596 |
+
Selenidera_reinwardtii,594
|
597 |
+
Sericossypha_albocristata,595
|
598 |
+
Serpophaga_hypoleuca,596
|
599 |
+
Serpophaga_subcristata,597
|
600 |
+
Sicalis_columbiana,598
|
601 |
+
Sirystes_sibilator,599
|
602 |
+
Sirystes_subcanescens,600
|
603 |
+
Sittasomus_griseicapillus,601
|
604 |
+
Spinus_olivaceus,602
|
605 |
+
Spizaetus_ornatus,603
|
606 |
+
Sporophila_angolensis,604
|
607 |
+
Sporophila_bouvronides,605
|
608 |
+
Sporophila_castaneiventris,606
|
609 |
+
Sporophila_fringilloides,607
|
610 |
+
Sporophila_luctuosa,608
|
611 |
+
Sporophila_simplex,609
|
612 |
+
Sternula_superciliaris,610
|
613 |
+
Stilpnia_viridicollis,611
|
614 |
+
Sturnella_militaris,612
|
615 |
+
Sublegatus_obscurior,613
|
616 |
+
Synallaxis_albescens,614
|
617 |
+
Synallaxis_albigularis,615
|
618 |
+
Synallaxis_azarae,616
|
619 |
+
Synallaxis_gujanensis,617
|
620 |
+
Synallaxis_hypospodia,618
|
621 |
+
Synallaxis_maranonica,619
|
622 |
+
Synallaxis_rutilans,620
|
623 |
+
Synallaxis_unirufa,621
|
624 |
+
Syndactyla_rufosuperciliata,622
|
625 |
+
Syndactyla_ucayalae,623
|
626 |
+
Tachycineta_albiventer,624
|
627 |
+
Tachyphonus_cristatus,625
|
628 |
+
Tachyphonus_phoenicius,626
|
629 |
+
Tachyphonus_surinamus,627
|
630 |
+
Talaphorus_chlorocercus,628
|
631 |
+
Tangara_cayana,629
|
632 |
+
Tangara_chilensis,630
|
633 |
+
Tangara_nigroviridis,631
|
634 |
+
Tangara_punctata,632
|
635 |
+
Tangara_varia,633
|
636 |
+
Tangara_velia,634
|
637 |
+
Tapera_naevia,635
|
638 |
+
Taraba_major,636
|
639 |
+
Terenura_spodioptila,637
|
640 |
+
Tersina_viridis,638
|
641 |
+
Thamnomanes_ardesiacus,639
|
642 |
+
Thamnomanes_caesius,640
|
643 |
+
Thamnomanes_saturninus,641
|
644 |
+
Thamnomanes_schistogynus,642
|
645 |
+
Thamnophilus_aethiops,643
|
646 |
+
Thamnophilus_amazonicus,644
|
647 |
+
Thamnophilus_bernardi,645
|
648 |
+
Thamnophilus_cryptoleucus,646
|
649 |
+
Thamnophilus_doliatus,647
|
650 |
+
Thamnophilus_murinus,648
|
651 |
+
Thamnophilus_nigrocinereus,649
|
652 |
+
Thamnophilus_punctatus,650
|
653 |
+
Thamnophilus_ruficapillus,651
|
654 |
+
Thamnophilus_schistaceus,652
|
655 |
+
Thamnophilus_stictocephalus,653
|
656 |
+
Thamnophilus_unicolor,654
|
657 |
+
Thaumasius_taczanowskii,655
|
658 |
+
Thlypopsis_inornata,656
|
659 |
+
Thlypopsis_superciliaris,657
|
660 |
+
Thraupis_episcopus,658
|
661 |
+
Thripadectes_scrutator,659
|
662 |
+
Thripophaga_fusciceps,660
|
663 |
+
Thryothorus_griseus,661
|
664 |
+
Tiaris_obscurus,662
|
665 |
+
Tinamus_major,663
|
666 |
+
Tityra_cayana,664
|
667 |
+
Tityra_semifasciata,665
|
668 |
+
Todirostrum_chrysocrotaphum,666
|
669 |
+
Todirostrum_maculatum,667
|
670 |
+
Todirostrum_pictum,668
|
671 |
+
Tolmomyias_assimilis,669
|
672 |
+
Tolmomyias_flaviventris,670
|
673 |
+
Tolmomyias_poliocephalus,671
|
674 |
+
Tolmomyias_sulphurescens,672
|
675 |
+
Tolmomyias_traylori,673
|
676 |
+
Tolmomyias_viridiceps,674
|
677 |
+
Topaza_pella,675
|
678 |
+
Topaza_pyra,676
|
679 |
+
Touit_purpuratus,677
|
680 |
+
Troglodytes_aedon,678
|
681 |
+
Troglodytes_solstitialis,679
|
682 |
+
Trogon_collaris,680
|
683 |
+
Trogon_curucui,681
|
684 |
+
Trogon_melanurus,682
|
685 |
+
Trogon_ramonianus,683
|
686 |
+
Trogon_rufus,684
|
687 |
+
Trogon_violaceus,685
|
688 |
+
Trogon_viridis,686
|
689 |
+
Tunchiornis_ochraceiceps,687
|
690 |
+
Turdus_albicollis,688
|
691 |
+
Turdus_hauxwelli,689
|
692 |
+
Turdus_ignobilis,690
|
693 |
+
Turdus_lawrencii,691
|
694 |
+
Turdus_leucomelas,692
|
695 |
+
Turdus_maranonicus,693
|
696 |
+
Turdus_nigriceps,694
|
697 |
+
Turdus_sanchezorum,695
|
698 |
+
Turdus_serranus,696
|
699 |
+
Tyranneutes_stolzmanni,697
|
700 |
+
Tyranneutes_virescens,698
|
701 |
+
Tyranniscus_cinereiceps,699
|
702 |
+
Tyranniscus_uropygialis,700
|
703 |
+
Tyrannulus_elatus,701
|
704 |
+
Tyrannus_melancholicus,702
|
705 |
+
Tyrannus_savana,703
|
706 |
+
Uranomitra_franciae,704
|
707 |
+
Uromyias_agraphia,705
|
708 |
+
Uropsalis_segmentata,706
|
709 |
+
Veniliornis_cassini,707
|
710 |
+
Vireo_chivi,708
|
711 |
+
Vireolanius_leucotis,709
|
712 |
+
Volatinia_jacarina,710
|
713 |
+
Wetmorethraupis_sterrhopteron,711
|
714 |
+
Willisornis_poecilinotus,712
|
715 |
+
Xenoglaux_loweryi,713
|
716 |
+
Xenopipo_atronitens,714
|
717 |
+
Xenops_milleri,715
|
718 |
+
Xenops_minutus,716
|
719 |
+
Xiphocolaptes_promeropirhynchus,717
|
720 |
+
Xipholena_punicea,718
|
721 |
+
Xiphorhynchus_elegans,719
|
722 |
+
Xiphorhynchus_guttatus,720
|
723 |
+
Xiphorhynchus_obsoletus,721
|
724 |
+
Xiphorhynchus_ocellatus,722
|
725 |
+
Xiphorhynchus_pardalotus,723
|
726 |
+
Xiphorhynchus_picus,724
|
727 |
+
Zimmerius_acer,725
|
728 |
+
Zimmerius_gracilipes,726
|
729 |
+
Zimmerius_viridiflavus,727
|
model.py
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import torch
|
2 |
+
from torch.utils.data import Dataset, DataLoader
|
3 |
+
from torch import nn
|
4 |
+
from transformers import ASTConfig, ASTFeatureExtractor, ASTModel
|
5 |
+
|
6 |
+
class BirdAST(nn.Module):
|
7 |
+
|
8 |
+
def __init__(self, backbone_name, n_classes, n_mlp_layers=1, activation='silu'):
|
9 |
+
super(BirdAST, self).__init__()
|
10 |
+
|
11 |
+
# pre-trained backbone
|
12 |
+
backbone_config = ASTConfig.from_pretrained(backbone_name)
|
13 |
+
self.ast = ASTModel.from_pretrained(backbone_name, config=backbone_config)
|
14 |
+
self.hidden_size = backbone_config.hidden_size
|
15 |
+
|
16 |
+
# set activation functions
|
17 |
+
if activation == 'relu':
|
18 |
+
self.activation = nn.ReLU()
|
19 |
+
elif activation == 'silu':
|
20 |
+
self.activation = nn.SiLU()
|
21 |
+
else:
|
22 |
+
raise ValueError("Unsupported activation function. Choose 'relu' or 'silu'.")
|
23 |
+
|
24 |
+
# define MLP layers with activation
|
25 |
+
layers = []
|
26 |
+
for _ in range(n_mlp_layers):
|
27 |
+
layers.append(nn.Linear(self.hidden_size, self.hidden_size))
|
28 |
+
layers.append(self.activation)
|
29 |
+
layers.append(nn.Linear(self.hidden_size, n_classes))
|
30 |
+
self.mlp = nn.Sequential(*layers)
|
31 |
+
|
32 |
+
def forward(self, spectrogram):
|
33 |
+
# spectrogram: (batch_size, n_mels, n_frames)
|
34 |
+
# output: (batch_size, n_classes)
|
35 |
+
|
36 |
+
ast_output = self.ast(spectrogram, output_hidden_states=False)
|
37 |
+
logits = self.mlp(ast_output.last_hidden_state[:, 0, :]) # Use the CLS token
|
38 |
+
|
39 |
+
return {'logits': logits}
|
requirements.txt
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
gradio
|
2 |
+
transformers
|
3 |
+
matplotlib
|
4 |
+
numpy
|
5 |
+
requests
|
6 |
+
timm
|
7 |
+
pandas
|
8 |
+
torch
|
9 |
+
librosa
|
10 |
+
noisereduce
|
11 |
+
torchaudio
|