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21cb9b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 | from flask import Flask, request, jsonify, send_file, render_template_string
from flask_cors import CORS
from ultralytics import YOLO
import cv2
import os
import uuid
import json
from werkzeug.utils import secure_filename
# ---------------------------
# Initialize Flask app
# ---------------------------
app = Flask(__name__)
CORS(app)
# ---------------------------
# Load YOLO model (ONLY ONCE)
# ---------------------------
model = YOLO("best.pt")
# ---------------------------
# Create upload/result folders
# ---------------------------
UPLOAD_FOLDER = "uploads"
RESULTS_FOLDER = "results"
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
os.makedirs(RESULTS_FOLDER, exist_ok=True)
# ---------------------------
# Load fertilizer database
# ---------------------------
with open("fertilizer_data.json", "r") as f:
fertilizer_db = json.load(f)
# ---------------------------
# Health Check Route (Important for Render)
# ---------------------------
@app.route("/health")
def health():
return {"status": "Backend Running Successfully ✅"}
# ---------------------------
# Home Page Route
# ---------------------------
@app.route("/")
def home():
return render_template_string("""
<h2>🚀 YOLO Flask API with Fertilizer Recommendation</h2>
<p>Upload an image to detect weeds and get fertilizer suggestions.</p>
<form action="/predict" method="post" enctype="multipart/form-data">
<input type="file" name="file">
<input type="submit" value="Upload & Detect">
</form>
""")
# ---------------------------
# Prediction API Route
# ---------------------------
@app.route("/predict", methods=["POST"])
def predict():
try:
# ✅ 1. Check uploaded file
if "file" in request.files:
file = request.files["file"]
elif "image" in request.files:
file = request.files["image"]
else:
return jsonify({"error": "No image uploaded"}), 400
if file.filename == "":
return jsonify({"error": "No image selected"}), 400
# ✅ 2. Save uploaded image
filename = secure_filename(file.filename)
if not filename:
filename = str(uuid.uuid4()) + ".jpg"
filepath = os.path.join(UPLOAD_FOLDER, filename)
file.save(filepath)
# ✅ 3. Run YOLO Prediction
results = model.predict(filepath)
# ✅ 4. Read image for drawing
img = cv2.imread(filepath)
detections = []
# ✅ 5. Loop over detected boxes
for box in results[0].boxes:
cls_id = int(box.cls[0])
label = results[0].names[cls_id]
conf = float(box.conf[0])
# ✅ Fertilizer Info Fetch
fert_info = fertilizer_db.get(label, {
"fertilizer": "Not found",
"quantity": "N/A",
"frequency": "N/A"
})
# ✅ Add detection record
detections.append({
"label": label,
"confidence": round(conf * 100, 2),
"fertilizer": fert_info["fertilizer"],
"quantity": fert_info["quantity"],
"frequency": fert_info["frequency"]
})
# ✅ Draw bounding box
x1, y1, x2, y2 = map(int, box.xyxy[0])
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
# ✅ Draw label text
text = f"{label} {conf*100:.1f}%"
cv2.putText(
img,
text,
(x1, y1 - 10),
cv2.FONT_HERSHEY_SIMPLEX,
0.7,
(255, 0, 0),
2
)
# ✅ 6. Save Result Image
result_filename = f"result_{filename}"
result_path = os.path.join(RESULTS_FOLDER, result_filename)
cv2.imwrite(result_path, img)
# ✅ 7. Generate Image URLs
base_url = request.host_url.rstrip("/")
return jsonify({
"detections": detections,
"result_image_url": f"{base_url}/result/{result_filename}",
"original_image_url": f"{base_url}/uploads/{filename}"
})
except Exception as e:
print("Prediction Error:", str(e))
return jsonify({"error": "Backend prediction failed", "details": str(e)}), 500
# ---------------------------
# Route for serving Result Image
# ---------------------------
@app.route("/result/<filename>")
def result_image(filename):
return send_file(
os.path.join(RESULTS_FOLDER, filename),
mimetype="image/jpeg"
)
# ---------------------------
# Route for serving Uploaded Image
# ---------------------------
@app.route("/uploads/<filename>")
def uploaded_image(filename):
return send_file(
os.path.join(UPLOAD_FOLDER, filename),
mimetype="image/jpeg"
)
# ---------------------------
# Main Run (Local only)
# ---------------------------
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)
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