Reference for ultralytics/models/yolo/detect/val.py
Note
Full source code for this file is available at https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/val.py. Help us fix any issues you see by submitting a Pull Request 🛠️. Thank you 🙏!
ultralytics.models.yolo.detect.val.DetectionValidator
Bases: BaseValidator
A class extending the BaseValidator class for validation based on a detection model.
Example
Source code in ultralytics/models/yolo/detect/val.py
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__init__(dataloader=None, save_dir=None, pbar=None, args=None, _callbacks=None)
Initialize detection model with necessary variables and settings.
Source code in ultralytics/models/yolo/detect/val.py
build_dataset(img_path, mode='val', batch=None)
Build YOLO Dataset.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
img_path |
str
|
Path to the folder containing images. |
required |
mode |
str
|
|
'val'
|
batch |
int
|
Size of batches, this is for |
None
|
Source code in ultralytics/models/yolo/detect/val.py
eval_json(stats)
Evaluates YOLO output in JSON format and returns performance statistics.
Source code in ultralytics/models/yolo/detect/val.py
finalize_metrics(*args, **kwargs)
Set final values for metrics speed and confusion matrix.
get_dataloader(dataset_path, batch_size)
Construct and return dataloader.
Source code in ultralytics/models/yolo/detect/val.py
get_desc()
Return a formatted string summarizing class metrics of YOLO model.
get_stats()
Returns metrics statistics and results dictionary.
Source code in ultralytics/models/yolo/detect/val.py
init_metrics(model)
Initialize evaluation metrics for YOLO.
Source code in ultralytics/models/yolo/detect/val.py
plot_predictions(batch, preds, ni)
Plots predicted bounding boxes on input images and saves the result.
Source code in ultralytics/models/yolo/detect/val.py
plot_val_samples(batch, ni)
Plot validation image samples.
Source code in ultralytics/models/yolo/detect/val.py
postprocess(preds)
Apply Non-maximum suppression to prediction outputs.
Source code in ultralytics/models/yolo/detect/val.py
pred_to_json(predn, filename)
Serialize YOLO predictions to COCO json format.
Source code in ultralytics/models/yolo/detect/val.py
preprocess(batch)
Preprocesses batch of images for YOLO training.
Source code in ultralytics/models/yolo/detect/val.py
print_results()
Prints training/validation set metrics per class.
Source code in ultralytics/models/yolo/detect/val.py
save_one_txt(predn, save_conf, shape, file)
Save YOLO detections to a txt file in normalized coordinates in a specific format.
Source code in ultralytics/models/yolo/detect/val.py
update_metrics(preds, batch)
Metrics.