Find information to choose weight loss strategies that are healthy, effective and safe for you. Learn how to evaluate claims made by weight loss products and diets. Once you’ve lost weight, you’ll want to learn how to keep it off.Ĭreating a positive body image through healthy eating habits.įind resources to help you lose or gain weight safely and effectively.Īddress weight issues in children and teens with healthy guidelines, links to interactive and skill-building tools, and more. Your eating habits, not just what you eat, may be leading to weight gain-for example, eating too fast, always clearing your plate, eating when you’re not hungry, or skipping meals. These habits can help you maintain your weight loss over time.Ĭheck out our step-by-step guide to help you get on the road to weight loss and better health. You’ll learn new eating and physical activity habits that will help you live a healthier lifestyle. So even if the overall goal seems large, see it as a journey rather than a final destination. While this weight may still be in the “overweight” or “obesity” range, this modest weight loss can decrease your risk for chronic diseases related to obesity. 1įor example, if you weigh 200 pounds, a 5% weight loss is 10 pounds, bringing your weight down to 190 pounds. Even modest weight loss can mean big benefitsĮven a modest weight loss of 5% to 10% of your total body weight is likely to produce health benefits, such as improvements in blood pressure, blood cholesterol, and blood sugars. Creating a supportive environment, both physically and with the people in your life, can help you achieve your goals. Before starting on the guide, it’s important to approach the changes with self-compassion and to understand your readiness and motivation. But if you’re ready to get started, we’ve got a step-by-step guide to help get you on the road to weight loss and better health. Losing weight isn’t easy, and it takes commitment. Once you’ve achieved a healthy weight, rely on healthy eating and physical activity to help maintain health over the long term. But people with gradual and steady weight loss (about 1 to 2 pounds per week) are more likely to keep the weight off. When you’re trying to lose weight, it’s natural to want it to happen very quickly. If you are concerned about your weight or have questions about your medications, talk with your health care provider. Medications taken for other conditions may also make it harder to lose weight. Achieving healthy weight loss isn’t about a “diet” or “program” but a lifestyle with healthy eating patterns, regular physical activity, and stress management. We must train pre-trained single model for task1. To train and evaluate the model(s) in the paper, run the following commands (Note that there could be a slightly change due to the random seed setting.) One can fine tune the learning rate schedule between cosine and onecycle(in our experiments, cosine schedule helps model more conservative). ![]() ![]() Pretrained weights from Task 1 to 4 can be downloaded here. We perform our CoReD CL in the time order(!) - lifelong learning, i.e., FaceSwap - DeepFake - Face2Face - NeuralTextures (introduction order in FaceForensics++ paper). it must be contained Sources & Target folder name -weight You can select the full path or folder path included in the '.pth' file -lr Learning rate (default: 5e-3) -KD_alpha Alpha of KD-Loss (default: 1.0) -num_class Number of Classes (default: 2) -num_store Number of Stores (default: 5) -epochs Number of training epoch (default: 100) -batch_size Batch-Size (default: 144) -lr_schedule Learning rate schedule (cosine / onecycle, default: cosine) -step_validate Apply validation on step - based (default: False - epoch validation) -beta Shape parameter of beta distribution (default: 1) -cutmix_prob Cut-mix augmentation probability (default: 0.5) -loss_schedule Include schedule for loss weight of CoReD (default: False) -decay_factor Decay factor when loss_schedule is applied (default: 0.9) -early_stop Early stopping (default: False - no early stopping) -patience Patience when early_stop is applied (default: 30) -num_gpu GPU-device (default: 0) 2 - Train (ex.DeepFake / Face2Face / FaceSwap / NeuralTextures) / used for Train only') -data Dataset path. DeepFake / DeepFake_Face2Face / DeepFake_Face2Face_FaceSwap) -name_target Name of 'Target' dataset. ![]() One of (default: Xception) -test Turn on test mode (default: False) -name_sources Name of 'Source' datasets. One of (default: PRETRAIN - Task 1) -network Network name.
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