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Jordon Brooks 2023-08-16 22:45:16 +01:00
parent 54fa90247a
commit 15d8e57da5
4 changed files with 56 additions and 12 deletions
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10
DeepEncode.py
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@ -2,7 +2,7 @@
import os
from featureExtraction import preprocess_frame
from featureExtraction import preprocess_frame, psnr
from globalVars import PRESET_SPEED_CATEGORIES
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
@ -16,10 +16,10 @@ from video_compression_model import VideoCompressionModel
COMPRESSED_VIDEO_FILE = 'compressed_video.avi'
MAX_FRAMES = 0 # Limit the number of frames processed
CRF = 51
SPEED = PRESET_SPEED_CATEGORIES.index("veryslow")
SPEED = PRESET_SPEED_CATEGORIES.index("ultrafast")
# Load the trained model
MODEL = tf.keras.models.load_model('models/model.tf', custom_objects={'VideoCompressionModel': VideoCompressionModel})
MODEL = tf.keras.models.load_model('models/model.tf', custom_objects={'VideoCompressionModel': VideoCompressionModel, 'psnr': psnr})
# Load the uncompressed video
UNCOMPRESSED_VIDEO_FILE = 'test_data/training_video.mkv'
@ -36,8 +36,8 @@ def load_frame_from_video(video_file, frame_num):
def predict_frame(uncompressed_frame):
display_frame = np.clip(cv2.cvtColor(uncompressed_frame, cv2.COLOR_BGR2RGB) * 255.0, 0, 255).astype(np.uint8)
cv2.imshow("uncomp", uncompressed_frame)
#display_frame = np.clip(cv2.cvtColor(uncompressed_frame, cv2.COLOR_BGR2RGB) * 255.0, 0, 255).astype(np.uint8)
#cv2.imshow("uncomp", uncompressed_frame)
frame = preprocess_frame(uncompressed_frame, CRF, SPEED)