README.md

@@ -0,0 +1,65 @@
+# test
+
+outputs `Yes` if the supplied image contains a bus and `No` if it does not
+
+## usage
+
+syntax: `./test.py [IMAGE]`
+
+### example 1
+
+testing with the following image:
+
+![](img/bus.jpg)
+
+```bash
+./test.py img/bus.jpg
+```
+
+output:
+
+```
+
+image 1/1 /home/ja/git/YOLOv8_test_example/img/bus.jpg: 640x480 4 persons, 1 bus, 1 stop sign, 20.1ms
+Speed: 1.0ms preprocess, 20.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)
+Yes
+Confidence: 87.3%
+```
+
+### example 2
+
+testing with the following image:
+
+![](img/notabus.png)
+
+```bash
+./test.py img/notabus.png 
+```
+
+output:
+
+```
+image 1/1 /home/ja/git/YOLOv8_test_example/img/notabus.png: 384x640 (no detections), 17.4ms
+Speed: 0.9ms preprocess, 17.4ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)
+No
+```
+
+### example 3
+
+testing with the following image:
+
+![](img/bus2.png)
+
+```bash
+./test.py img/bus2.png
+```
+
+output:
+
+```
+image 1/1 /home/ja/git/YOLOv8_test_example/img/bus2.png: 384x640 (no detections), 16.4ms
+Speed: 1.1ms preprocess, 16.4ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)
+No
+```
+
+Note that another cartoon image of a bus did register as a bus.

readme.MD

@@ -1,7 +0,0 @@
-it works on pictures of busses but not the hand-drawn image i made.
-
-This program tells you whether or not the selected image is a bus.
-
-python3 test.py
-
-To change the file to run the operation on, change this line in the source code: results = model("bus4.jpg")

test.py

@@ -1,10 +1,16 @@
+#!/usr/bin/env python3
+
+import sys
+
 from ultralytics import YOLO
 
+image_path = sys.argv[1]
+
 # Load the small pretrained YOLOv8 object-detection model.
 model = YOLO("yolov8n.pt")
 
 # Run object detection on a test image.
-results = model("bus4.jpg")
+results = model(image_path)
 
 has_bus = False
 max_confidence = 0.0
@@ -13,7 +19,7 @@ for result in results:
     class_names = result.names
     detected_classes = result.boxes.cls.tolist()
     confidences = result.boxes.conf.tolist()
-    
+
     # Check each detected object and its matching confidence score
     for cls_id, conf in zip(detected_classes, confidences):
         if class_names[int(cls_id)] == "bus":