1 files changed, 106 insertions, 0 deletions
diff --git a/megapixels/commands/demo/face_emotion.py b/megapixels/commands/demo/face_emotion.py
new file mode 100644
index 00000000..5e06eace
--- /dev/null
+++ b/megapixels/commands/demo/face_emotion.py
@@ -0,0 +1,106 @@
+import click
+
+from app.settings import types
+from app.utils import click_utils
+from app.settings import app_cfg as cfg
+
+
+@click.command()
+@click.option('-i', '--input', 'opt_fp_in', default=None, required=True,
+  help='Imemotion filepath')
+@click.option('-o', '--output', 'opt_fp_out', default=None,
+  help='GIF output path')
+@click.option('--size', 'opt_size', 
+  type=(int, int), default=(300, 300),
+  help='Output imemotion size')
+@click.option('-g', '--gpu', 'opt_gpu', default=0,
+  help='GPU index')
+@click.option('-f', '--force', 'opt_force', is_flag=True,
+  help='Force overwrite file')
+@click.option('--display/--no-display', 'opt_display', is_flag=True, default=False,
+  help='Display detections to debug')
+@click.pass_context
+def cli(ctx, opt_fp_in, opt_fp_out, opt_gpu, opt_size, opt_force, opt_display):
+  """Face detector demo"""
+  
+  import sys
+  import os
+  from os.path import join
+  from pathlib import Path
+  import time
+  
+  from tqdm import tqdm
+  import numpy as np
+  import pandas as pd
+  import cv2 as cv
+  import dlib
+
+  from app.utils import logger_utils, file_utils, im_utils, display_utils, draw_utils
+  from app.utils import plot_utils
+  from app.processors import face_detector, face_emotion
+  from app.models.data_store import DataStore
+  
+
+  log = logger_utils.Logger.getLogger()
+
+  
+  # -------------------------------------------------
+  # load imemotion
+
+  im = cv.imread(opt_fp_in)
+  im_resized = im_utils.resize(im, width=opt_size[0], height=opt_size[1])
+
+  # ----------------------------------------------------------------------------
+  # detect face
+
+  face_detector = face_detector.DetectorDLIBCNN(gpu=opt_gpu)  # -1 for CPU
+  bboxes = face_detector.detect(im_resized, largest=True)
+  bbox = bboxes[0]
+  dim = im_resized.shape[:2][::-1]
+  bbox_dim = bbox.to_dim(dim)
+  if not bbox:
+    log.error('no face detected')
+    return
+  else:
+    log.info(f'face detected: {bbox_dim.to_xyxy()}')
+
+
+  # ----------------------------------------------------------------------------
+  # emotion
+
+  emotion_predictor = face_emotion.FaceEmotion(gpu=opt_gpu)
+  emotion_score = emotion_predictor.emotion(im_resized, bbox_dim)
+
+
+  # ----------------------------------------------------------------------------
+  # output
+  
+  log.info(f'Face coords: {bbox_dim} face')
+  log.info(f'emotion score: {(100*emotion_score):.2f}')
+
+
+  # ----------------------------------------------------------------------------
+  # draw
+
+  # draw 2d landmarks
+  im_emotion = im_resized.copy()
+  draw_utils.draw_bbox(im_emotion, bbox_dim)
+  txt = f'emotion score: {(100*emotion_score):.2f}'
+  draw_utils.draw_text(im_emotion, bbox_dim.pt_tl, txt)
+
+
+  # ----------------------------------------------------------------------------
+  # save
+  
+  if opt_fp_out:
+    # save pose only
+    cv.imwrite(opt_fp_out, im_emotion)
+
+
+  # ----------------------------------------------------------------------------
+  # display
+
+  if opt_display:
+    # show all imemotions here
+    cv.imshow('emotion', im_emotion)
+    display_utils.handle_keyboard()
+\ No newline at end of file