leaf_detecetion

Step 1 Environment Setup

Only dependency is

python3 -m pip install ultralytics

Step 2 Upload images

Put images to eval under test/leaf/

Step 3 Run eval

python3 eval.py

image 1/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_001.jpg: 1024x1024 86 leafs, 408.5ms
image 2/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_002.jpg: 1024x1024 72 leafs, 336.5ms
image 3/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_003.jpg: 1024x1024 15 leafs, 332.8ms
image 4/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_004.jpg: 1024x1024 74 leafs, 338.4ms
image 5/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_005.jpg: 1024x1024 89 leafs, 374.4ms
image 6/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_006.jpg: 1024x1024 4 leafs, 338.3ms
image 7/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/TEST_007.jpg: 1024x1024 29 leafs, 335.2ms
image 8/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/leaf.png: 1024x1024 13 leafs, 345.9ms
image 9/9 /Users/jasonychen/Desktop/github/leaf_detection/test/leaf/tree_leaves.png: 1024x1024 13 leafs, 339.6ms
Speed: 4.7ms preprocess, 349.9ms inference, 0.9ms postprocess per image at shape (1, 3, 1024, 1024)
Results saved to runs/detect/predict3

Step 4 View result images

View result images to eval under runs/detect/predict/