Need an Python OpenCV Expert for Image Processing
Budget: $30 – $250 USD
I am seeking a knowledgeable OpenCV specialist to assist with image processing specifically in the area of image filtering.
Key tasks to be performed include:
Your team is working for an advertising agency company. One client just launched its business in the sports/leisure fashion industry. The client requires information on what effective visual image advertising content strategies in the respective industry look like.
Details
1) Data: You will receive data files which will contain meta data and a folder of images from Instragram scraping of image posts for two organisations (LornaJane and lululemon). There are only posts with a photo image in the files (there are no sidecars or videos). You will then need to run Open CV and sentiment analysis (post description) on the modified file and merge the relevant data files to produce a suitable regression file.
2) Hypotheses: Advertising professionals often share effective visual content from their industry experience, although those are not formally tested yet. Search for recent relevant articles such as academic journal, newspapers, blogs, and industry reports about effective visual content strategy on social media. From your search, formulate some preliminary hypotheses about main effects and possible moderator effects associated with these main effects. Discuss the reasons for your hypotheses by citing articles which you found. The main effects hypotheses don’t need to be related to each other but the moderation effects hypotheses should be connected to one of the main effects hypotheses.
Key tasks to be performed include:
Your team is working for an advertising agency company. One client just launched its business in the sports/leisure fashion industry. The client requires information on what effective visual image advertising content strategies in the respective industry look like.
Details
1) Data: You will receive data files which will contain meta data and a folder of images from Instragram scraping of image posts for two organisations (LornaJane and lululemon). There are only posts with a photo image in the files (there are no sidecars or videos). You will then need to run Open CV and sentiment analysis (post description) on the modified file and merge the relevant data files to produce a suitable regression file.
2) Hypotheses: Advertising professionals often share effective visual content from their industry experience, although those are not formally tested yet. Search for recent relevant articles such as academic journal, newspapers, blogs, and industry reports about effective visual content strategy on social media. From your search, formulate some preliminary hypotheses about main effects and possible moderator effects associated with these main effects. Discuss the reasons for your hypotheses by citing articles which you found. The main effects hypotheses don’t need to be related to each other but the moderation effects hypotheses should be connected to one of the main effects hypotheses.