Add check_requirements() (#1853)

* Add check_requirements()

* add import

* parameterize filename

* add to detect, test

detect.py

@@ -9,8 +9,8 @@ from numpy import random
 
 from models.experimental import attempt_load
 from utils.datasets import LoadStreams, LoadImages
-from utils.general import check_img_size, non_max_suppression, apply_classifier, scale_coords, xyxy2xywh, \
-    strip_optimizer, set_logging, increment_path
+from utils.general import check_img_size, check_requirements, non_max_suppression, apply_classifier, scale_coords, \
+    xyxy2xywh, strip_optimizer, set_logging, increment_path
 from utils.plots import plot_one_box
 from utils.torch_utils import select_device, load_classifier, time_synchronized
 
@@ -162,6 +162,7 @@ if __name__ == '__main__':
     parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
     opt = parser.parse_args()
     print(opt)
+    check_requirements()
 
     with torch.no_grad():
         if opt.update:  # update all models (to fix SourceChangeWarning)

test.py

@@ -11,8 +11,8 @@ from tqdm import tqdm
 
 from models.experimental import attempt_load
 from utils.datasets import create_dataloader
-from utils.general import coco80_to_coco91_class, check_dataset, check_file, check_img_size, box_iou, \
-    non_max_suppression, scale_coords, xyxy2xywh, xywh2xyxy, set_logging, increment_path
+from utils.general import coco80_to_coco91_class, check_dataset, check_file, check_img_size, check_requirements, \
+    box_iou, non_max_suppression, scale_coords, xyxy2xywh, xywh2xyxy, set_logging, increment_path
 from utils.loss import compute_loss
 from utils.metrics import ap_per_class, ConfusionMatrix
 from utils.plots import plot_images, output_to_target, plot_study_txt
@@ -302,6 +302,7 @@ if __name__ == '__main__':
     opt.save_json |= opt.data.endswith('coco.yaml')
     opt.data = check_file(opt.data)  # check file
     print(opt)
+    check_requirements()
 
     if opt.task in ['val', 'test']:  # run normally
         test(opt.data,

train.py

@@ -28,7 +28,7 @@ from utils.autoanchor import check_anchors
 from utils.datasets import create_dataloader
 from utils.general import labels_to_class_weights, increment_path, labels_to_image_weights, init_seeds, \
     fitness, strip_optimizer, get_latest_run, check_dataset, check_file, check_git_status, check_img_size, \
-    print_mutation, set_logging, one_cycle
+    check_requirements, print_mutation, set_logging, one_cycle
 from utils.google_utils import attempt_download
 from utils.loss import compute_loss
 from utils.plots import plot_images, plot_labels, plot_results, plot_evolution
@@ -472,6 +472,7 @@ if __name__ == '__main__':
     set_logging(opt.global_rank)
     if opt.global_rank in [-1, 0]:
         check_git_status()
+        check_requirements()
 
     # Resume
     if opt.resume:  # resume an interrupted run

utils/general.py

@@ -53,6 +53,14 @@ def check_git_status():
             print(s[s.find('Your branch is behind'):s.find('\n\n')] + '\n')
 
 
+def check_requirements(file='requirements.txt'):
+    # Check installed dependencies meet requirements
+    import pkg_resources
+    requirements = pkg_resources.parse_requirements(Path(file).open())
+    requirements = [x.name + ''.join(*x.specs) if len(x.specs) else x.name for x in requirements]
+    pkg_resources.require(requirements)  # DistributionNotFound or VersionConflict exception if requirements not met
+
+
 def check_img_size(img_size, s=32):
     # Verify img_size is a multiple of stride s
     new_size = make_divisible(img_size, int(s))  # ceil gs-multiple