标签： 上海后花园1314

Recently, Kunling’s new film was released, and Jay Chou "crazy" helped his wife promote it, but it attracted some controversy. Is it too hard?

First of all, Jay Chou released the trailer of his wife’s new film early at his personal concert, telling everyone to watch it.

Before the release, he posted a screenshot of the ticketing platform, feeling that the amount of markers 40,000 people wanted to see was not enough, ins shouted "brother wants first" and asked everyone to buy tickets.

To promote his wife’s movie, he bundled the new song with the movie

Jay Chou asked netizens to go directly to the cinema to listen to the new song on Instagram. Kunling left a message "love you", Jay Chou asked "what kind of young people’s online language is this", and sprinkled a handful of dog food.

No matter whether it is the audio or the MV, all his fans and listeners can only hear this song when they go to the cinema to watch the movie.

In the past two days, Jay Chou has sent a number of posts on Instagram, specially thanking the people who bought the tickets, saying that they are "family members" with "loyalty".

He took screenshots of the people who bought tickets on ins, and thanked them one by one. They have never been so active in their business~

The film’s intention to use Jay Chou to attract the box office has been on the surface, allowing major cinemas to download MVs from Baidu Cloud to play with the film.

The filmmaker issued a notice that Jay Chou’s new song MV could not be finished before the film was released, so the cinema was asked to download it from Baidu Cloud and play it. The notice clearly stated that "in order to do a good job in the distribution of this film and increase the box office of this film, all theaters are requested to cooperate with the download and playback."

Did someone say this is buying an MV and giving away a movie?

Kunling said that this was her first time playing the female lead, so the box office results were very important to her. Jay Chou made crazy electricity for love. Kunling was of course very touched and sent a Weibo sweet thank you husband.

Regarding Jay Chou’s series of operations, netizens’ views were divided into two groups. Some believed that this was a moral kidnapping of fans, and that anyone else would be laughed at. Some netizens also understood Jay Chou’s approach.

Most of the audience were looking for Jay Chou to watch the movie’s hot reviews on Douban. The first popular comment: "You can see Jay Chou’s latest MV for a few dozen yuan, and there is also a title movie (the most important thing is that this title is only an hour and a half, friends)…"

Today, Kunling’s acting was a hot search.

The audience expressed their opinions on her acting skills.

Some people did not see Jay Chou’s new song after watching the movie. It seems that some cinemas did not go to the online disk to download Jay Chou’s new MV.

This year’s sunset red fans boosted popularity, allowing Jay Chou to witness his strong appeal.

So he thinks the Sunset Red fan club will love my dog, love me, and support Kunling’s movie?

However, fans love you so much because your work is hard enough. Most people are "talent fans" and will judge based on the quality of the work.

In July, after the Sunset Red fan club broke the liver and made data, many people in the Super Talk said to Jay: "This is the only time!, in the future, you should rely on yourself to win, you should release an album, you should hold a concert, your fans are old and just want to spend money on you, these data boost popularity or something, you can’t do it, don’t even think about having a second time."

Sunset red fans will not even have a second time on the list, and Jay Chou will strive for his own success. Therefore, fans’ enthusiasm for Kunling to love my dog, love me is limited this time.

In any case, Jay Chou’s appeal lies there, coupled with factors such as competing films at the same time, as of 19:00 on the 12th, the film still won yesterday’s box office championship with more than 20 million yuan.

Jay Chou’s crazy call for his wife is a normal operation, and he will spare no effort to support his brother.

In September, a fan left a message asking Jay Chou not to bring his brothers to the concert. Fans only wanted to listen to him, but he replied that he was partial.

That day, Zhou Dong also posted a song by someone else. This MV was directed by him, and Zhou Dong also took out the new song "as a threat", and no one would watch this MV new song.

Jay Chou is such a person, not afraid of being ridden on one’s coattails, not being influenced by the outside world, just hoping that the people around him are on fire.

He worked hard to attract popularity and give them exposure, but "red" was a metaphysics, and Jay Chou’s success rate was not high.

In the movies that Jay Chou starred in, his friend Liu Yanhong would mostly play supporting roles. He also wrote very good lyrics for Jay Chou, "Sleepy Beast" and "Back in the Past". However, there is a joke in the market that Jay Chou did not become very popular after bringing Liu Yanhong for so long, but in the end it was his daughter, Xiao Puff, who became popular.

Jay Chou praised Nanquan’s mother, not only providing various singing resources, but also taking them to participate in activities. After Jay Chou got involved in the film and television industry, the first TV series "Panda Man" was directed by Song Jianzhang and Zhan Yuhao, who starred in Nanquan’s mother. Unfortunately, Nanquan’s mother has always been popular.

In the 2010 "Panda Man", there is also a "J girl" Jiang Yuchen that Jay Chou touts.

Just as the milk tea advertisement said back then, she was "held in the palm of his hand" by Jay Chou, who made her star in the MV "The Longest Movie", starred in the TV drama, took her to shoot commercials, and gradually gained popularity. The two had an affair, and it was rumored that Jay Chou wrote songs for her anonymously.

Jiang Yuchen’s career in the entertainment industry has been mediocre. On January 31, 2016, he married his American pilot boyfriend Josh Anderson in Las Vegas, USA. He now has two children, the eldest daughter of his husband and ex-wife.

Jay Chou has personally praised and is not popular, as well as Yuan Yonglin (and Jay Chou chorus "Painting Sand", "Smile"), the waves and other brothers.

In view of the low success rate of Jay Chou’s promotion, some netizens advised him to worry less about Kunling’s career.

Judging from his support for Kunling’s career, he is indeed a good husband.

After Jay Chou and Quinling got married, they gave birth to two children in 2015 and 2017. Some people have always said that Jay Chou is a bit macho and just wants Quinling to stay at home as a good helper and be a little woman with peace of mind.

But in fact, Jay Chou spared no effort to support Kunling’s career development.

In 2017, Jay Chou first opened a social account to call Kunling, who starred in a Hollywood movie with Dwelling Stone Johnson. Please support her a lot.

In the video posted by Kunling recently, Jay Chou also accompanied his wife to exercise, peeked at the camera, and was photographed by Kunling.

The practice of tying a new song to his wife’s new movie is a matter of opinion, but Jay Chou is indeed a good husband in terms of spoiling his wife and supporting his other half’s career.

　　As a leading enterprise in the ADAS industry, Mobileye currently holds more than 60% of the global market share of visual perception chips. At the same time, the closed visual perception ecosystem established by Mobileye has also become the mainstream form of the industry. Conditional open and relatively convergent perception API requirements have helped Mobileye establish standardized perception interface solutions and quickly promote products to the world, attacking cities and territories.

　　However, time has changed. As current visual ADAS capabilities continue to be upgraded and iterated, the industry expects more open solutions to help OEMs and Tier1 create differentiated and more adaptable ADAS capabilities.

　　The complexity and locality of driving scenarios call for open solutions

　　Once upon a time, a domestic OEM tried to develop an autonomous parking solution based on Mobileye’s visual perception solution. During the implementation of the project, it was necessary to identify the railing at the entrance of the parking lot. However, Mobileye’s closed solution did not support customers to update the perception algorithm independently, resulting in development difficulties.

　　This reflects the dilemma faced by OEMs. On the one hand, Mobileye’s visual perception solution is still the most mature solution at present, with many advantages in terms of product maturity, project risk control and quality management, which OEMs cannot refuse. On the whole, it is a situation of more than conservative and less aggressive. But on the other hand, this closed solution is like a black box. Because of the inability to differentiate and customize development, the performance is homogenized; moreover, in localized driving scenarios, it cannot fully meet the requirements. This limits OEMs to make more aggressive product solutions, which will reduce product competitiveness in the long run.

　　The particularity of China’s driving scene requires a localized sensing solution to meet the functional requirements of ADAS/autonomous driving.

　　At the same time, in order to meet the high reliability requirements of ADAS/autonomous driving for perception, more open perception solutions are also required. For example, if we can identify richer targets and more types of semantic segmentation, then we can obtain richer semantic information, so that different categories can be cross-validated. For example, road shoulders and sidewalks have a clear auxiliary verification function for the judgment of the drivable area. Fixed targets on the roadside, such as traffic signs and street lamps, are of great help in positioning.

　　If the road is covered with snow on a snowy day, how can you tell where the shoulder is? The movie "If You Are the One" describes a dialogue plot:

　　"Hey, you’ve been to [Hokkaido], you must know what the arrows on both sides of the road are for?" Answer: "Oh, in winter, the snow in Hokkaido is very thick, and the arrows instruct people not to drive out of the shoulder of the road."

　　If we can recognize the arrows on either side of the highway, we can reason about the boundaries of the drivable area. The development trend of perception technology requires more open solutions

　　The development of perception technology can be summarized as follows:

　　From simple scenes to complex scenes

　　From high-frequency targets to general targets

　　From 2D perception to 3D perception

　　From reality-oriented perception to prediction-oriented perception

　　All of these trends have further increased the richness and complexity of perception, making it impossible for vendors to use a standard perception solution to meet their needs.

　　In the era of software-defined cars, automakers need a more open approach

　　Intelligence is the core element of brand differentiation in the future, mainly through the addition of software functions. The post-deployment of software will be the general trend, which means that most software functions will be delivered after the car leaves the factory, and software iteration OTA will be the new normal. This trend is particularly important for mobility service operators. Service requirements in various scenarios need to be based on the functions of existing fleets and met by continuous upgrades and iterations.

　　In the future, the car delivered by OEMs will not be a product with solidified functions, but a robot that continues to evolve. Throughout the life cycle of the car, the hardware platform can continue to support software iterative upgrades. The efficiency of software development and differentiated functions will determine the success or failure of this intelligent competition.

　　In order to improve the efficiency of software development, from the perspective of system architecture, service-oriented system architecture (SOA) will become the mainstream, which requires the creation of a new perception solution that meets the requirements of four aspects: a highly open, consistent and complete tool chain, a strong computing power reserve, and strong scalability to meet the requirements of different levels of vehicle platforms.

　　Open perception intermediate results help domestic ADAS functions continue to evolve

　　At present, the perception algorithm API is still relatively closed in the industry. Many features are difficult to implement (such as the augmented reality display function of ADAS function in the infotainment domain), in part because the perception algorithm is only provided for internal use of the intelligent forward-looking camera module and is unwilling to be provided to other subsystems. And the Horizon perception intermediate result can be fully open. And because the low-level semantics of the Horizon algorithm are very rich, the fully open perception intermediate result can support customers to develop more complex functions at the application layer.

　　So far, the Horizon algorithm can support 10 types of dynamic targets and 53 types of static targets. Among them, dynamic targets include: adults, children, cyclists and other pedestrians, as well as cars, SUVs, vans, trucks, passenger cars, motorcycles and elderly scooters 7 categories; while static targets include 8 categories of lane lines, 2 types of traffic lights and 43 types of traffic signs. The richer perception information than Mobileye provides a solid perception foundation for customers to realize differentiated functions.

Rich Perceptual Information Provided by Horizon Algorithm

　　Open and comprehensive toolchain, practicing the concept of "deeply empowering"

　　In order to increase the agility of visual algorithm iteration and better support various extreme perceptual scenarios in China, Horizon has launched the AI chip tool chain Horizon OpenExplorer (Horizon "Tiangong Kaiwu"), including data, training and device deployment tools, such as model training tools, inspection and verification tools, compilers, emulators, embedded development kits, etc. (Figure 9), forming a closed loop. Data generates models, which can be deployed to devices for operation, and can guide the tuning of models during operation, and even collect new data. Such a self-evolving development model can improve development speed, lower development thresholds, and ensure development quality. Based on this model, development manpower can be reduced by about 30%, development time can be saved by 50%, and more importantly, because the development threshold is lowered, the scale of developers can even be expanded by an order of magnitude.

　　Horizon will continue to upgrade the power builder to provide customers with a semi-automated processing flow. Mainly include: closed-loop iteration between data tools and models, models and on-end devices; rich model/system reference prototypes, simple and easy to use intuitive and convenient interaction means; standardized development process, plus continuous testing, integration, and deployment mechanisms.

Horizon "Tiangong Kaiwu" chip tool chain

　　More specifically, Horizon’s model training tool can support mainstream deep learning frameworks such as TensorFlow to help users train their own models; the compiler supports converting the open-source training framework model format to the binary format on the chip; and the embedded development kit can support customers to call the algorithm library to develop their own applications, allowing customers to quickly deploy applications in chip manufacturers. The entire toolchain package can cover the complete development link (Figure 10). After optimization by the Horizon compiler, the memory access bottleneck of the algorithm can be greatly alleviated and the computing efficiency of the chip can be improved (Figure 11).

　　Development Process Based on "Tiangong Kaiwu" Tool Chain

Algorithms automatically optimized by the Horizon compiler provide significant performance improvements

　　Recently, Horizon partnered with South Korea’s SK Telecom to develop a dynamic crowdsourced high-definition mapping solution. SK used Horizon’s toolchain to develop a visual perception algorithm for Korean roads, demonstrating the ease of use and reliability of the toolchain.

　　In short, the opening of Horizon is a deep and multi-dimensional comprehensive opening from providing system reference solutions, to fully open sensing results, and then to full-stack solutions of toolchains, fully empowering the intelligent development of the automotive industry. If customers advocate the concept of division of labor and cooperation to maximize efficiency, Horizon provides software and hardware integrated chip solutions; if customers prefer to maximize capabilities and want to use their own algorithms, Horizon provides customers with pure chips and a complete toolchain to help customers achieve deep enough development freedom and practice the long-term commitment of "deep empowerment".