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Final Project: What's left
- Importar o modelo.
- Carregar algumas imagens (para já vou buscar ao test set da wider_face)
- Dar parse das anotações das imagens
- Dar predict das imagens com o modelo.
- Ajustar as bounding boxes para as imagens do OpenCV
- Criar a lógica para aumentar o tamanho das bounding boxes.
- Encontrar a cara com métodos tradicionais de CV e criar uma máscara.
- Aplicar a máscara sobre as imagens (para já vou deixá-la preta).
- Mostrar os resultados.
- Calcular Precision, Recall, Avg IoU.
- Fazer o testing do modelo que faltou fazer, com o test dataset do wider_face.
- Ignorar as ground truth bounding boxes demasiado pequenas do training set, o YOLO nunca vai conseguir encontrá-las e está a estragar um bocado o cálculo da loss.
- Fazer test do model
- Mostrar gráficos de loss do model
- Arranjar o callback do modelo que calcula o mAP a cada iteração de training, e guarda o melhor modelo.
- Aumentar o número de iterações (EPOCH = 5), e correr o modelo (vai demorar bué).
- Dar tweaks nos hyperparameters.
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