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fix/ImageAI-pytorch-newversion-support #18

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20 changes: 11 additions & 9 deletions fire_net.py
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Original file line number Diff line number Diff line change
@@ -1,12 +1,9 @@
from imageai.Detection.Custom import CustomObjectDetection, CustomVideoObjectDetection
from imageai.Detection.Custom import DetectionModelTrainer, CustomObjectDetection, CustomVideoObjectDetection
import os

execution_path = os.getcwd()


def train_detection_model():
from imageai.Detection.Custom import DetectionModelTrainer

trainer = DetectionModelTrainer()
trainer.setModelTypeAsYOLOv3()
trainer.setDataDirectory(data_directory="fire-dataset")
Expand All @@ -16,11 +13,10 @@ def train_detection_model():
# https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5
trainer.trainModel()


def detect_from_image():
detector = CustomObjectDetection()
detector.setModelTypeAsYOLOv3()
detector.setModelPath(detection_model_path=os.path.join(execution_path, "detection_model-ex-33--loss-4.97.h5"))
detector.setModelPath(detection_model_path=os.path.join(execution_path, "detection_model-ex-33--loss-4.97.pt"))
detector.setJsonPath(configuration_json=os.path.join(execution_path, "detection_config.json"))
detector.loadModel()

Expand All @@ -34,10 +30,16 @@ def detect_from_image():
def detect_from_video():
detector = CustomVideoObjectDetection()
detector.setModelTypeAsYOLOv3()
detector.setModelPath(detection_model_path=os.path.join(execution_path, "detection_model-ex-33--loss-4.97.h5"))
detector.setModelPath(detection_model_path=os.path.join(execution_path, "detection_model-ex-33--loss-4.97.pt"))
detector.setJsonPath(configuration_json=os.path.join(execution_path, "detection_config.json"))
detector.loadModel()

detected_video_path = detector.detectObjectsFromVideo(input_file_path=os.path.join(execution_path, "video1.mp4"), frames_per_second=30, output_file_path=os.path.join(execution_path, "video1-detected"), minimum_percentage_probability=40, log_progress=True )

detected_video_path = detector.detectObjectsFromVideo(input_file_path=os.path.join(execution_path, "video1.mp4"),
frames_per_second=30,
output_file_path=os.path.join(execution_path, "video1-detected"),
minimum_percentage_probability=40, log_progress=True)

# Uncomment the function calls below to use them
# train_detection_model()
# detect_from_image()
# detect_from_video()