issue in Download COCO test-dev2017 part when test in colab

[haidykhaled]

❔Question

Additional context

[github-actions[bot]]

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[glenn-jocher]

@haidykhaled this was fixed last month in a PR. Please use the latest notebook and let us know if you have an more issues! https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb?hl=en

[haidykhaled]

Thank you. Can you tell me if I want to count the number of predictions that predict the object as a person, how can I do this?

On Wed, Apr 14, 2021 at 7:26 PM Glenn Jocher @.***> wrote:

@haidykhaled https://github.com/haidykhaled this was fixed last month in a PR. Please use the latest notebook and let us know if you have an more issues!

https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb?hl=en

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[glenn-jocher]

@haidykhaled you would sum detections for the person class.

[haidykhaled]

Thanks for your reply I really appreciate it, and where is the person is classified?

On Thu, Apr 15, 2021 at 1:16 PM Glenn Jocher @.***> wrote:

@haidykhaled https://github.com/haidykhaled you would sum detections for the person class.

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[glenn-jocher]

@haidykhaled see PyTorch Hub tutorial:

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')

# Image
img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg'

# Inference
results = model(img)

results.xyxy[0]  # img1 predictions (tensor)
results.pandas().xyxy[0]  # img1 predictions (pandas)
#      xmin    ymin    xmax   ymax  confidence  class    name
# 0  749.50   43.50  1148.0  704.5    0.874023      0  person
# 1  433.50  433.50   517.5  714.5    0.687988     27     tie
# 2  114.75  195.75  1095.0  708.0    0.624512      0  person
# 3  986.00  304.00  1028.0  420.0    0.286865     27     tie

YOLOv5 Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Weights & Biases Logging  🌟 NEW
• Supervisely Ecosystem  🌟 NEW
• Multi-GPU Training
• PyTorch Hub  ⭐ NEW
• ONNX and TorchScript Export
• Test-Time Augmentation (TTA)
• Model Ensembling
• Model Pruning/Sparsity
• Hyperparameter Evolution
• Transfer Learning with Frozen Layers  ⭐ NEW
• TensorRT Deployment

[haidykhaled]

Thanks, I'll see it.

On Sat, Apr 17, 2021 at 11:24 AM Glenn Jocher @.***> wrote:

@haidykhaled https://github.com/haidykhaled see PyTorch Hub tutorial:

import torch

Model

model = torch.hub.load('ultralytics/yolov5', 'yolov5s')

Image

img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg'

Inference

results = model(img)

results.xyxy[0] # img1 predictions (tensor) results.pandas().xyxy[0] # img1 predictions (pandas)

xmin ymin xmax ymax confidence class name

0 749.50 43.50 1148.0 704.5 0.874023 0 person

1 433.50 433.50 517.5 714.5 0.687988 27 tie

2 114.75 195.75 1095.0 708.0 0.624512 0 person

3 986.00 304.00 1028.0 420.0 0.286865 27 tie

YOLOv5 Tutorials

• Train Custom Data https://docs.ultralytics.com/yolov5/tutorials/train_custom_data 🚀 RECOMMENDED
• Tips for Best Training Results https://docs.ultralytics.com/guides/model-training-tips/ ☘️ RECOMMENDED
• Weights & Biases Logging https://github.com/ultralytics/yolov5/issues/1289 🌟 NEW
• Supervisely Ecosystem https://docs.ultralytics.com/yolov5/tutorials/model_export8 🌟 NEW
• Multi-GPU Training https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training
• PyTorch Hub https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading ⭐ NEW
• ONNX and TorchScript Export https://docs.ultralytics.com/yolov5/tutorials/model_export
• Test-Time Augmentation (TTA) https://docs.ultralytics.com/yolov5/tutorials/test_time_augmentation
• Model Ensembling https://docs.ultralytics.com/yolov5/tutorials/model_ensembling
• Model Pruning/Sparsity https://docs.ultralytics.com/yolov5/tutorials/model_pruning_and_sparsity
• Hyperparameter Evolution https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution
• Transfer Learning with Frozen Layers https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers ⭐ NEW
• TensorRT Deployment https://github.com/wang-xinyu/tensorrtx

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[haidykhaled]

I saw it and I understand, now I want to work with the whole coco dataset not only the 2 photos of Zidan and the bus, and print only the count of people in the image, how to apply this?

On Sat, Apr 17, 2021 at 1:26 AM Haidy Khaled @.***> wrote:

Thanks, I'll see it.

On Sat, Apr 17, 2021 at 11:24 AM Glenn Jocher @.***> wrote:

@haidykhaled https://github.com/haidykhaled see PyTorch Hub tutorial:

import torch

Model

model = torch.hub.load('ultralytics/yolov5', 'yolov5s')

Image

img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg'

Inference

results = model(img)

results.xyxy[0] # img1 predictions (tensor) results.pandas().xyxy[0] # img1 predictions (pandas)

xmin ymin xmax ymax confidence class name

0 749.50 43.50 1148.0 704.5 0.874023 0 person

1 433.50 433.50 517.5 714.5 0.687988 27 tie

2 114.75 195.75 1095.0 708.0 0.624512 0 person

3 986.00 304.00 1028.0 420.0 0.286865 27 tie

YOLOv5 Tutorials

• Train Custom Data https://docs.ultralytics.com/yolov5/tutorials/train_custom_data 🚀 RECOMMENDED
• Tips for Best Training Results https://docs.ultralytics.com/guides/model-training-tips/ ☘️ RECOMMENDED
• Weights & Biases Logging https://github.com/ultralytics/yolov5/issues/1289 🌟 NEW
• Supervisely Ecosystem https://docs.ultralytics.com/yolov5/tutorials/model_export8 🌟 NEW
• Multi-GPU Training https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training
• PyTorch Hub https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading ⭐ NEW
• ONNX and TorchScript Export https://docs.ultralytics.com/yolov5/tutorials/model_export
• Test-Time Augmentation (TTA) https://docs.ultralytics.com/yolov5/tutorials/test_time_augmentation
• Model Ensembling https://docs.ultralytics.com/yolov5/tutorials/model_ensembling
• Model Pruning/Sparsity https://docs.ultralytics.com/yolov5/tutorials/model_pruning_and_sparsity
• Hyperparameter Evolution https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution
• Transfer Learning with Frozen Layers https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers ⭐ NEW
• TensorRT Deployment https://github.com/wang-xinyu/tensorrtx

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/ultralytics/yolov3/issues/1741#issuecomment-821795365, or unsubscribe https://github.com/notifications/unsubscribe-auth/AH4HXCKCGTTANWV73OJ4NPDTJFHWLANCNFSM424FX6GQ .

[glenn-jocher]

@haidykhaled see PyTorch Hub tutorial:

YOLOv5 Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Weights & Biases Logging  🌟 NEW
• Supervisely Ecosystem  🌟 NEW
• Multi-GPU Training
• PyTorch Hub  ⭐ NEW
• ONNX and TorchScript Export
• Test-Time Augmentation (TTA)
• Model Ensembling
• Model Pruning/Sparsity
• Hyperparameter Evolution
• Transfer Learning with Frozen Layers  ⭐ NEW
• TensorRT Deployment

[haidykhaled]

Thank you!

On Sun, Apr 18, 2021, 11:30 AM Glenn Jocher @.***> wrote:

@haidykhaled https://github.com/haidykhaled see PyTorch Hub tutorial: YOLOv5 Tutorials

• Train Custom Data https://docs.ultralytics.com/yolov5/tutorials/train_custom_data 🚀 RECOMMENDED
• Tips for Best Training Results https://docs.ultralytics.com/guides/model-training-tips/ ☘️ RECOMMENDED
• Weights & Biases Logging https://github.com/ultralytics/yolov5/issues/1289 🌟 NEW
• Supervisely Ecosystem https://docs.ultralytics.com/yolov5/tutorials/model_export8 🌟 NEW
• Multi-GPU Training https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training
• PyTorch Hub https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading ⭐ NEW
• ONNX and TorchScript Export https://docs.ultralytics.com/yolov5/tutorials/model_export
• Test-Time Augmentation (TTA) https://docs.ultralytics.com/yolov5/tutorials/test_time_augmentation
• Model Ensembling https://docs.ultralytics.com/yolov5/tutorials/model_ensembling
• Model Pruning/Sparsity https://docs.ultralytics.com/yolov5/tutorials/model_pruning_and_sparsity
• Hyperparameter Evolution https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution
• Transfer Learning with Frozen Layers https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers ⭐ NEW
• TensorRT Deployment https://github.com/wang-xinyu/tensorrtx

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[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[glenn-jocher]

You're welcome, @haidykhaled! If you have any more questions or need further assistance, feel free to ask. Happy coding! 😊👍