update README.md

Author: hunglc007

README.md

@@ -46,13 +46,16 @@ If you want to run yolov3 or yolov3-tiny change ``--model yolov3`` in command
 python save_model.py --weights ./data/yolov4.weights --output ./checkpoints/yolov4-416 --input_size 416 --model yolov4 --framework tflite
 
 # yolov4
-python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./data/yolov3-416.tflite
+python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./checkpoints/yolov4-416.tflite
 
 # yolov4 quantize float16
-python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./data/yolov4-416-fp16.tflite --quantize_mode float16
+python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./checkpoints/yolov4-416-fp16.tflite --quantize_mode float16
 
 # yolov4 quantize int8
-python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./data/yolov4-416-int8.tflite --quantize_mode int8 --dataset ./coco_dataset/coco/val207.txt
+python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./checkpoints/yolov4-416-int8.tflite --quantize_mode int8 --dataset ./coco_dataset/coco/val207.txt
+
+# Run demo tflite model
+python detect.py --weights ./checkpoints/yolov4-416.tflite --size 416 --model yolov4 --image ./data/kite.jpg --framework tflite
 ```
 Yolov4 and Yolov4-tiny int8 quantization have some issues. I will try to fix that. You can try Yolov3 and Yolov3-tiny int8 quantization 
 ### Convert to TensorRT

detect.py

@@ -17,10 +17,10 @@
 from tensorflow.compat.v1 import InteractiveSession
 
 flags.DEFINE_string('framework', 'tf', '(tf, tflite, trt')
-flags.DEFINE_string('weights', './checkpoints/yolov4-tiny-416',
+flags.DEFINE_string('weights', './checkpoints/yolov4-416',
                     'path to weights file')
 flags.DEFINE_integer('size', 416, 'resize images to')
-flags.DEFINE_boolean('tiny', True, 'yolo or yolo-tiny')
+flags.DEFINE_boolean('tiny', False, 'yolo or yolo-tiny')
 flags.DEFINE_string('model', 'yolov4', 'yolov3 or yolov4')
 flags.DEFINE_string('image', './data/kite.jpg', 'path to input image')
 flags.DEFINE_string('output', 'result.png', 'path to output image')