lab10 - YOLO - Multi-tarefa

Yolo¶

Neste notebook, exploraremos técnicas avançadas do YOLO utilizando a biblioteca Ultralytics, incluindo:

1. Tarefas múltiplas (detecção, segmentação e classificação)
2. Tracking de objetos em vídeos

In [ ]:

# # Instalação dos pacotes necessários
# !pip install ultralytics
# !pip install opencv-python matplotlib

# # Instalação dos pacotes necessários # !pip install ultralytics # !pip install opencv-python matplotlib

In [ ]:

# Importação das bibliotecas
from ultralytics import YOLO
import cv2
import matplotlib.pyplot as plt
import numpy as np
import os
from IPython.display import display, Image

# Importação das bibliotecas from ultralytics import YOLO import cv2 import matplotlib.pyplot as plt import numpy as np import os from IPython.display import display, Image

1. Explorando diferentes modelos e tarefas¶

YOLO v8 suporta múltiplas tarefas além da detecção de objetos:

In [2]:

# Carregar um modelo para detecção de objetos (padrão)
detect_model = YOLO('model/yolov8n.pt')

# Carregar um modelo para segmentação de instâncias
segment_model = YOLO('model/yolov8n-seg.pt')

# Carregar um modelo para classificação de imagens
classify_model = YOLO('model/yolov8n-cls.pt')

# Carregar um modelo para pose estimation
pose_model = YOLO('model/yolov8n-pose.pt')

# Carregar um modelo para detecção de objetos (padrão) detect_model = YOLO('model/yolov8n.pt') # Carregar um modelo para segmentação de instâncias segment_model = YOLO('model/yolov8n-seg.pt') # Carregar um modelo para classificação de imagens classify_model = YOLO('model/yolov8n-cls.pt') # Carregar um modelo para pose estimation pose_model = YOLO('model/yolov8n-pose.pt')

Comparação de diferentes tarefas em uma mesma imagem¶

In [9]:

# Função para mostrar imagens lado a lado
def compare_tasks(image_path):
    # Detecção
    detect_results = detect_model(image_path)
    detect_img = detect_results[0].plot()
    
    # classificação
    classify_results = classify_model(image_path)
    classify_img = classify_results[0].plot()
    if classify_results[0].boxes:
        class_name = classify_results[0].names[classify_results[0].boxes.cls[0]]
        cv2.putText(detect_img, f"Class: {class_name}", (50, 50), 
                    cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
    else:
        cv2.putText(detect_img, "Nenhuma classe detectada", (50, 50), 
                    cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
    
    # Segmentação
    segment_results = segment_model(image_path)
    segment_img = segment_results[0].plot()
    
    # Pose (pode não funcionar em todas as imagens)
    try:
        pose_results = pose_model(image_path)
        pose_img = pose_results[0].plot()
    except:
        pose_img = np.zeros_like(detect_img)
        cv2.putText(pose_img, "Pose não detectada", (50, 100), 
                    cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
    
    # Exibir imagens
    plt.figure(figsize=(18, 8))
    
    plt.subplot(1, 4, 1)
    plt.imshow(cv2.cvtColor(detect_img, cv2.COLOR_BGR2RGB))
    plt.title("Detecção de Objetos")
    plt.axis('off')
    
    plt.subplot(1, 4, 2)
    plt.imshow(cv2.cvtColor(segment_img, cv2.COLOR_BGR2RGB))
    plt.title("Segmentação de Instâncias")
    plt.axis('off')
    
    plt.subplot(1, 4, 3)
    plt.imshow(cv2.cvtColor(pose_img, cv2.COLOR_BGR2RGB))
    plt.title("Estimativa de Pose")
    plt.axis('off')
    
    plt.subplot(1, 4, 4)
    plt.imshow(cv2.cvtColor(classify_img, cv2.COLOR_BGR2RGB))
    plt.title("Classificação de Imagem")
    plt.axis('off')
    
    plt.tight_layout()
    plt.show()

# Função para mostrar imagens lado a lado def compare_tasks(image_path): # Detecção detect_results = detect_model(image_path) detect_img = detect_results[0].plot() # classificação classify_results = classify_model(image_path) classify_img = classify_results[0].plot() if classify_results[0].boxes: class_name = classify_results[0].names[classify_results[0].boxes.cls[0]] cv2.putText(detect_img, f"Class: {class_name}", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2) else: cv2.putText(detect_img, "Nenhuma classe detectada", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2) # Segmentação segment_results = segment_model(image_path) segment_img = segment_results[0].plot() # Pose (pode não funcionar em todas as imagens) try: pose_results = pose_model(image_path) pose_img = pose_results[0].plot() except: pose_img = np.zeros_like(detect_img) cv2.putText(pose_img, "Pose não detectada", (50, 100), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2) # Exibir imagens plt.figure(figsize=(18, 8)) plt.subplot(1, 4, 1) plt.imshow(cv2.cvtColor(detect_img, cv2.COLOR_BGR2RGB)) plt.title("Detecção de Objetos") plt.axis('off') plt.subplot(1, 4, 2) plt.imshow(cv2.cvtColor(segment_img, cv2.COLOR_BGR2RGB)) plt.title("Segmentação de Instâncias") plt.axis('off') plt.subplot(1, 4, 3) plt.imshow(cv2.cvtColor(pose_img, cv2.COLOR_BGR2RGB)) plt.title("Estimativa de Pose") plt.axis('off') plt.subplot(1, 4, 4) plt.imshow(cv2.cvtColor(classify_img, cv2.COLOR_BGR2RGB)) plt.title("Classificação de Imagem") plt.axis('off') plt.tight_layout() plt.show()

In [10]:

# Comparar diferentes tarefas em uma imagem de pessoas
compare_tasks('lab_images/bus.jpg')

# Comparar diferentes tarefas em uma imagem de pessoas compare_tasks('lab_images/bus.jpg')

image 1/1 /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/bus.jpg: 640x480 4 persons, 1 bus, 1 stop sign, 156.9ms
Speed: 3.1ms preprocess, 156.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)

image 1/1 /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/bus.jpg: 224x224 minibus 0.50, police_van 0.29, trolleybus 0.05, golfcart 0.02, jinrikisha 0.02, 9.0ms
Speed: 6.2ms preprocess, 9.0ms inference, 0.2ms postprocess per image at shape (1, 3, 224, 224)

image 1/1 /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/bus.jpg: 640x480 4 persons, 1 bus, 1 skateboard, 90.4ms
Speed: 2.0ms preprocess, 90.4ms inference, 3.2ms postprocess per image at shape (1, 3, 640, 480)

image 1/1 /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/bus.jpg: 640x480 4 persons, 64.2ms
Speed: 2.1ms preprocess, 64.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)

9. Tracking de objetos em vídeos¶

O YOLO também pode ser utilizado para tracking de objetos em vídeos.

In [ ]:

# Baixar um vídeo de exemplo
!wget https://ultralytics.com/assets/people_walking.mp4 -O test_video.mp4

# Baixar um vídeo de exemplo !wget https://ultralytics.com/assets/people_walking.mp4 -O test_video.mp4

In [14]:

# Fine-tuning de um modelo pré-treinado
model = YOLO('model/yolov8n.pt')  # carregamos um modelo pequeno para o exemplo

# Tracking de objetos no vídeo
track_results = model.track(
    'lab_images/people-walking.mp4',
    conf=0.3,
    iou=0.5,
    show=False,
    tracker="bytetrack.yaml",  # Algoritmo de tracking
    classes=0,  # Apenas pessoas (classe 0)
    save=True
)

print("Tracking completo! Vídeo salvo em runs/detect/track/")

# Fine-tuning de um modelo pré-treinado model = YOLO('model/yolov8n.pt') # carregamos um modelo pequeno para o exemplo # Tracking de objetos no vídeo track_results = model.track( 'lab_images/people-walking.mp4', conf=0.3, iou=0.5, show=False, tracker="bytetrack.yaml", # Algoritmo de tracking classes=0, # Apenas pessoas (classe 0) save=True ) print("Tracking completo! Vídeo salvo em runs/detect/track/")

Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov8n.pt to 'lab_images/yolov8n.pt'...

100%|██████████| 6.25M/6.25M [00:01<00:00, 6.35MB/s]

WARNING ⚠️ 
inference results will accumulate in RAM unless `stream=True` is passed, causing potential out-of-memory
errors for large sources or long-running streams and videos. See https://docs.ultralytics.com/modes/predict/ for help.

Example:
    results = model(source=..., stream=True)  # generator of Results objects
    for r in results:
        boxes = r.boxes  # Boxes object for bbox outputs
        masks = r.masks  # Masks object for segment masks outputs
        probs = r.probs  # Class probabilities for classification outputs

video 1/1 (frame 1/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 63.4ms
video 1/1 (frame 2/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 60.3ms
video 1/1 (frame 3/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 47.4ms
video 1/1 (frame 4/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 49.2ms
video 1/1 (frame 5/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 71.2ms
video 1/1 (frame 6/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 76.9ms
video 1/1 (frame 7/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 1 person, 66.5ms
video 1/1 (frame 8/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 68.7ms
video 1/1 (frame 9/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.3ms
video 1/1 (frame 10/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 79.0ms
video 1/1 (frame 11/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 61.0ms
video 1/1 (frame 12/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 71.8ms
video 1/1 (frame 13/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 79.0ms
video 1/1 (frame 14/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 68.5ms
video 1/1 (frame 15/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 65.8ms
video 1/1 (frame 16/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 75.6ms
video 1/1 (frame 17/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 69.0ms
video 1/1 (frame 18/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 64.8ms
video 1/1 (frame 19/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 73.6ms
video 1/1 (frame 20/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 73.1ms
video 1/1 (frame 21/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 60.5ms
video 1/1 (frame 22/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 67.4ms
video 1/1 (frame 23/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.4ms
video 1/1 (frame 24/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 77.1ms
video 1/1 (frame 25/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 76.9ms
video 1/1 (frame 26/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 64.7ms
video 1/1 (frame 27/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 70.8ms
video 1/1 (frame 28/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 74.8ms
video 1/1 (frame 29/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 75.7ms
video 1/1 (frame 30/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 73.4ms
video 1/1 (frame 31/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 80.1ms
video 1/1 (frame 32/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 72.9ms
video 1/1 (frame 33/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.0ms
video 1/1 (frame 34/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 70.2ms
video 1/1 (frame 35/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 84.8ms
video 1/1 (frame 36/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 75.6ms
video 1/1 (frame 37/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 73.1ms
video 1/1 (frame 38/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 57.6ms
video 1/1 (frame 39/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 68.1ms
video 1/1 (frame 40/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 68.0ms
video 1/1 (frame 41/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 71.1ms
video 1/1 (frame 42/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 59.9ms
video 1/1 (frame 43/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 81.1ms
video 1/1 (frame 44/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 71.0ms
video 1/1 (frame 45/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 59.9ms
video 1/1 (frame 46/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 74.4ms
video 1/1 (frame 47/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 84.9ms
video 1/1 (frame 48/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.9ms
video 1/1 (frame 49/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 62.2ms
video 1/1 (frame 50/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 81.6ms
video 1/1 (frame 51/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 82.7ms
video 1/1 (frame 52/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.8ms
video 1/1 (frame 53/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 69.7ms
video 1/1 (frame 54/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 80.8ms
video 1/1 (frame 55/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 70.9ms
video 1/1 (frame 56/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 78.9ms
video 1/1 (frame 57/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 77.7ms
video 1/1 (frame 58/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 72.7ms
video 1/1 (frame 59/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 80.9ms
video 1/1 (frame 60/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 147.1ms
video 1/1 (frame 61/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 82.5ms
video 1/1 (frame 62/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 76.4ms
video 1/1 (frame 63/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 74.4ms
video 1/1 (frame 64/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 91.9ms
video 1/1 (frame 65/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 70.4ms
video 1/1 (frame 66/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 72.6ms
video 1/1 (frame 67/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 63.3ms
video 1/1 (frame 68/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 88.4ms
video 1/1 (frame 69/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 74.6ms
video 1/1 (frame 70/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 83.5ms
video 1/1 (frame 71/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 74.0ms
video 1/1 (frame 72/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 70.3ms
video 1/1 (frame 73/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 59.5ms
video 1/1 (frame 74/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 2 persons, 71.0ms
video 1/1 (frame 75/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 67.3ms
video 1/1 (frame 76/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 69.0ms
video 1/1 (frame 77/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 72.3ms
video 1/1 (frame 78/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 73.8ms
video 1/1 (frame 79/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 67.0ms
video 1/1 (frame 80/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 67.0ms
video 1/1 (frame 81/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 1 person, 62.4ms
video 1/1 (frame 82/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 60.9ms
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video 1/1 (frame 226/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 128.4ms
video 1/1 (frame 227/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 81.5ms
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video 1/1 (frame 465/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 83.6ms
video 1/1 (frame 466/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 92.4ms
video 1/1 (frame 467/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 81.0ms
video 1/1 (frame 468/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 75.1ms
video 1/1 (frame 469/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 62.6ms
video 1/1 (frame 470/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 77.9ms
video 1/1 (frame 471/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 82.1ms
video 1/1 (frame 472/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 72.7ms
video 1/1 (frame 473/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 95.4ms
video 1/1 (frame 474/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 73.6ms
video 1/1 (frame 475/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 81.9ms
video 1/1 (frame 476/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 85.2ms
video 1/1 (frame 477/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 69.9ms
video 1/1 (frame 478/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 71.1ms
video 1/1 (frame 479/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 74.3ms
video 1/1 (frame 480/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 88.7ms
video 1/1 (frame 481/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 73.1ms
video 1/1 (frame 482/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 88.1ms
video 1/1 (frame 483/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 79.0ms
video 1/1 (frame 484/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 80.5ms
video 1/1 (frame 485/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 89.1ms
video 1/1 (frame 486/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 76.2ms
video 1/1 (frame 487/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 93.8ms
video 1/1 (frame 488/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 91.9ms
video 1/1 (frame 489/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 75.2ms
video 1/1 (frame 490/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 84.4ms
video 1/1 (frame 491/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 82.3ms
video 1/1 (frame 492/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 176.2ms
video 1/1 (frame 493/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 81.7ms
video 1/1 (frame 494/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 80.9ms
video 1/1 (frame 495/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 71.4ms
video 1/1 (frame 496/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 73.1ms
video 1/1 (frame 497/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 72.3ms
video 1/1 (frame 498/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 71.9ms
video 1/1 (frame 499/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 70.6ms
video 1/1 (frame 500/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 66.7ms
video 1/1 (frame 501/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 61.4ms
video 1/1 (frame 502/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 76.6ms
video 1/1 (frame 503/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 67.9ms
video 1/1 (frame 504/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 72.4ms
video 1/1 (frame 505/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 72.7ms
video 1/1 (frame 506/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 70.9ms
video 1/1 (frame 507/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 68.2ms
video 1/1 (frame 508/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 74.2ms
video 1/1 (frame 509/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 60.8ms
video 1/1 (frame 510/510) /Users/arnaldoalvesvianajunior/shift-fiap/10-lab18-yolo/lab_images/people-walking.mp4: 384x640 (no detections), 73.0ms
Speed: 3.7ms preprocess, 83.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)
Results saved to runs/detect/track
Tracking completo! Vídeo salvo em runs/detect/track/