• B&m Quickshift
• Motorcycle Quickshifter
• Quickshift App

Quickshift – Regulation 4 Function is an extension of the Regulation music series. This album offers the listener straightforward, easy listening style music with pleasant melodies, popular musical hooks, and easy-going rhythms. The piano and guitar offer a wide range of. The music within each Quickshift album has not only been selected based on unique musical qualities but has also been carefully sequenced to optimize its therapeutic benefits. The musical selection found at the beginning of an album may be. QuickShift is a scheduling, performance management, and payroll generation software trusted by hospitality companies across the US. Tailored for event based businesses with a distributed workforce, QuickShift can help remove the tedious spreadsheets and email chains simplifying all event operations.

Fullfillment services for business large & small that are
ready to scale

Fullfillment services for business large & small that are
ready to scale

Fullfillment services for business large & small that are
ready to scale

Our services help to streamline your storage, distribution
and fulfillment across retail, wholesale and E-commerce channels.

Our hassle-free first, middle and last mile fleet
services help in city-wide coverage across our operational cities.

Outsource your online and offline order processing
and fulfillment operations and monitor all your channel integrations
through our software.

All your business functions can be integrated into your QuickShift dashboard.
Track all functions including managing supplier invoices, uploading product images
onto your partner channels, tracking inventory levels, etc. on your dedicated QuickShift dashboard.

QuickShift provides wholistic logistics solutions including storage, order processing, last
mile delivery with cash on delivery facilities, and many other value added services for a fraction of the cost.

Flexible Storage &
Warehousing Options

Delivery & Distribution
Services

Shipping Discount Through
Our Courier Partners

Reach 20,000

Daily Sheet Reporting
MIS

Flexible Payment Option
(pay as you go)

We serve clients across industries through our fulfillment and fleet services.
Our ability to cater to their ever increasing requirements has helped us in
retaining their business as well as cater to new clients. Few of our distinguished clients include

We are pleased to present the
following testimonials from a few clients of ours

Doodhwala, Aijaz Dadarkar

City Head

We have had a great experience with QuickShift. The team is always responsive and has a solution centric approach. Over the last one year we have had a great association and we believe that QuickShift will partner with us in the days to come as well.

B&m Quickshift

Suresh Verma

Munchbox Frozen Foods LLP - Founder

QuickShift provides us with most of our warehousing and fulfillment services along with fleet support for distribution. We are very pleased with their services.

Pradeep Shinde

Big basket - Transport manager

QuickShift has made managing our middle and last mile operations very smooth. We are glad to have them as our fleet partners across cities.

Abhin Shetty

Bana Hospitality - Founder

We developed a great partnership with QuickShift for its fulfillment services across Pune.

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This example compares four popular low-level image segmentation methods. Asit is difficult to obtain good segmentations, and the definition of “good”often depends on the application, these methods are usually used for obtainingan oversegmentation, also known as superpixels. These superpixels then serve asa basis for more sophisticated algorithms such as conditional random fields(CRF).

Felzenszwalb’s efficient graph based segmentation¶

This fast 2D image segmentation algorithm, proposed in 1 is popular in thecomputer vision community.The algorithm has a single scale parameter that influences the segmentsize. The actual size and number of segments can vary greatly, depending onlocal contrast.

Motorcycle Quickshifter

Efficient graph-based image segmentation, Felzenszwalb, P.F. andHuttenlocher, D.P. International Journal of Computer Vision, 2004

Quickshift image segmentation¶

Quickshift is a relatively recent 2D image segmentation algorithm, based on anapproximation of kernelized mean-shift. Therefore it belongs to the family oflocal mode-seeking algorithms and is applied to the 5D space consisting ofcolor information and image location 2.

One of the benefits of quickshift is that it actually computes ahierarchical segmentation on multiple scales simultaneously.

Quickshift has two main parameters: sigma controls the scale of the localdensity approximation, max_dist selects a level in the hierarchicalsegmentation that is produced. There is also a trade-off between distance incolor-space and distance in image-space, given by ratio.

Quick shift and kernel methods for mode seeking,Vedaldi, A. and Soatto, S.European Conference on Computer Vision, 2008

SLIC - K-Means based image segmentation¶

This algorithm simply performs K-means in the 5d space of color information andimage location and is therefore closely related to quickshift. As theclustering method is simpler, it is very efficient. It is essential for thisalgorithm to work in Lab color space to obtain good results. The algorithmquickly gained momentum and is now widely used. See 3 for details. Thecompactness parameter trades off color-similarity and proximity, as in thecase of Quickshift, while n_segments chooses the number of centers forkmeans.

Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,Pascal Fua, and Sabine Suesstrunk, SLIC Superpixels Compared toState-of-the-art Superpixel Methods, TPAMI, May 2012.

Compact watershed segmentation of gradient images¶

Instead of taking a color image as input, watershed requires a grayscalegradient image, where bright pixels denote a boundary between regions.The algorithm views the image as a landscape, with bright pixels forming highpeaks. This landscape is then flooded from the given markers, until separateflood basins meet at the peaks. Each distinct basin then forms a differentimage segment. 4

As with SLIC, there is an additional compactness argument that makes itharder for markers to flood faraway pixels. This makes the watershed regionsmore regularly shaped. 5

Peer Neubert & Peter Protzel (2014). Compact Watershed andPreemptive SLIC: On Improving Trade-offs of Superpixel SegmentationAlgorithms. ICPR 2014, pp 996-1001. DOI:10.1109/ICPR.2014.181https://www.tu-chemnitz.de/etit/proaut/publications/cws_pSLIC_ICPR.pdf

Quickshift App

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