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| Section | Objectives |
|---|---|
| AI Application Deployment and Operations | - Inference service deployment - AI service monitoring and optimization |
| AI Model Development | - Model training and evaluation - Hyperparameter tuning |
| Artificial Intelligence Fundamentals | - Deep learning fundamentals - Introduction to AI concepts - Machine learning basics |
| Data Processing and Analysis | - Data preprocessing techniques - Feature engineering |
| Huawei AI Development Platform (ModelArts) | - ModelArts usage and workflow - Model training and deployment on ModelArts - Dataset management |
1. In the grayscale change experiment of image preprocessing, the gamma change function is defined as follows:
Xxxxxxxxxx
Def gamma_trans (img, gamma)
Gamma_list = [ np.power (x/255.0,gamma)*255.0 for x in range(256)]
Gamma_table = np.round ( np.array ( gamma_list )). astype (np.uint8)
Return cv2.LUT(img , gamma_table )
When the gamma value is 0.5, the bright part is stretched and the dark part is compressed.
A) True
B) False
2. The facial features detection API detects facial features of the input image and returns the coordinates of key points representing the location of the facial features. How many landmark points are currently supported?
A) 10
B) 68
C) 20
D) 50
3. Image segmentation is to segment the part of the image that contains people.
A) True
B) False
4. Which of the following parameters must be configured when using ModelArts automatic learning to build an image classification or object detection project? (Multiple choice)
A) Dataset name
B) Dataset output location
C) Dataset Source
D) Dataset input location
5. All color images in computers are represented by RGB color space.
A) True
B) False
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A,B,C,D | Question # 5 Answer: B |
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