Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.
Harvest is a cloud-based time tracking tool designed for businesses of all sizes. The solution provides timesheet and invoicing features for small businesses and freelancers. Key features include time and expense management, team management, project management, scheduling and invoicing.Harvest Integrations
Canny + HarvestCreates Timesheet Entry from Harvest from Post Status Change to Canny Read More...
Harvest + CannyChange Post Status in Canny when New User Assignment is created in Harvest Read More...
It's easy to connect Canny + Harvest without coding knowledge. Start creating your own business flow.
Triggers when a new comment is created.
Triggers when a new post is created.
Triggers when a new vote is created.
Triggers when a post's status is changed.
Triggers when you add a new client.
Triggers when you add a new contact.
Triggers when you add a new invoice (with line item support).
Triggers when you add a new invoice.
Triggers when you add a new person.
Triggers when you add a new project.
Triggers when you add a new task.
Triggers when a new timesheet entry is created for today.
Triggers when a person is assigned to a project.
Changes a post's status.
Creates a new timesheet entry for the current day.
Canny is a free open-source distance estimation library for MATLAB. It was developed by David W. Jacobs, Robert P. Gpland, and Michael Rubinstein. Canny estimates the distance between two binary images using gradient information, which are extracted from each image. The extracted gradient information are multiplied to account for the difference in size of the images. The product of these multiplied gradient information represents an intensity profile along the border line between the images and the intensity profile is used to generate a distance profile. The distance profile is finally averaged and normalized to produce a single value representing the distance between two binary images.
Harvest is a free open-source computer vision platform for MATLAB. It was developed by David W. Jacobs and Michael Rubinstein of the Computer Science and Artificial Intelligence Laboratory of Massachusetts Institute of Technpogy. Harvest provides a cplection of functions that help users quickly implement computer vision algorithms such as facial recognition, object detection and tracking, and particle detection and tracking.
The integration of Canny and Harvest will provide users with more options when they want to implement computer vision algorithms. Both tops provide users with more efficiency and flexibility when it comes to implementing different types of computer vision algorithms. For example, Canny is better at estimating mean shift clustering while Harvest is better at identifying objects such as faces or pedestrians on a street. Combining both tops will allow users to utilize the strengths of both tops and not rely on one top for everything. This will allow users to speed up their research and development process by not having to switch back and forth between different tops.
The benefits of integrating Canny and Harvest include:
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